Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Since 2023, Anduril UK has experienced rapid growth, introducing world leading software first, hardware enabled systems to the UK Ministry of Defence and other government agencies. Our exemplar programme of Maritime Sentry Towers (MST) has been developed and delivered in close partnership with the UK government and sovereign British industry, fundamentally changing how border security and surveillance capabilities can be employed by UK authorities. Additionally, Anduril UK has expanded its portfolio to include the ALTIUS 600, a versatile autonomous aerial system, and Seabed Sentry, an advanced underwater surveillance platform. These systems, along with others, position Anduril UK to provide a broad range of software and software enabled hardware products to meet the UK’s defence and security needs as outlined in the 2023 Integrated Review Refresh and Defence Command Paper.

World leading technology like MST, ALTIUS 600, Seabed Sentry, and many of the other autonomous systems that will underpin the UK’s technological future rely on modern C4 systems. These systems can integrate and fuse data across distributed systems, nodes, and networks to enable timely command decision making. Anduril’s open architecture Lattice operating system is an AI powered software platform that transforms thousands of data streams into actionable information for operators at all levels.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting edge autonomy, AI, computer vision, and networking technology to UK defence and security personnel in months, not years. Our focus is on rapidly delivering innovative solutions that enhance the UK’s defence capabilities, support its industrial strategy, and contribute to its position as a science and technology leader.

ABOUT THE TEAM

The Mission Software Engineering team is responsible for building, deploying, integrating, extending, and scaling Anduril’s software to deliver mission critical capabilities to our customers. As the software engineers closest to Anduril customers and end users, Mission Software Engineers solve technical challenges of operational scenarios while owning the end to end delivery of winning capabilities such as Counter Intrusion, Joint All Domain Command & Control, and Counter Unmanned Aircraft Systems.

ABOUT THE JOB

As a Senior Software Engineer on the Connected Warfare team, you will help architect third party systems to seamlessly integrate with Anduril products while solving a wide variety of technical problems, making pragmatic engineering tradeoffs along the way. Your role sets the bar for the technical excellence our customers expect from Anduril. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset-executing in an expedient, scalable, and pragmatic way while keeping the mission top of mind and making sound engineering decisions to deliver successful outcomes correctly, on time, and with high quality.

WHAT YOU’LL DO

• Be a champion for Anduril capabilities within a customer environment
• Develop architecture and mission vignettes
• Iterate on core data mesh technology to make optimal use of degraded networks
• Develop connectors and APIs for legacy and cutting edge systems to integrate with Lattice
• Deploy software to non standard environments
• Create data flow pipelines that span horizontally and vertically across disparate networked systems and security domains

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• At least 5+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• Ability to quickly understand and navigate complex systems and established code bases
• Experience working in a customer / client facing role
• A desire to work on critical software that has a real world impact
• Ability to travel to client sites
• Eligible for SC Clearance

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril’s total compensation package. Additionally, Anduril offers top tier benefits for full time employees, including:

• Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you.
  • For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents.
  • For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril.
• Basic Life/AD&D and long term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents.
• Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans.
• 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition.
• Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting.
• Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work life services, such as free legal and financial support, available to you as well.
• A professional development stipend is available to all Andurilians.
• Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro kitchens.
• Company funded commuter benefits available based on your region.
• Relocation assistance (depending on role eligibility).
• 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only)

Anduril is an equal opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real world impact, we’d love to hear from you!

To view Anduril’s candidate data privacy policy, please visit

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE TEAM

The Mission Software Engineering team is responsible for building, deploying, integrating, extending, and scaling Anduril’s software to deliver mission critical capabilities to our customers. As the software engineers closest to Anduril customers and end users, Mission Software Engineers solve technical challenges of operational scenarios while owning the end to end delivery of winning capabilities such as Counter Intrusion, Joint All Domain Command & Control, and Counter Unmanned Aircraft Systems.

ABOUT THE JOB

As a Mission Software Engineer on the Connected Warfare team, you will help architect third party systems to seamlessly integrate with Anduril products while solving a wide variety of technical problems, making pragmatic engineering tradeoffs along the way. Your role sets the bar for the technical excellence our customers expect from Anduril. Above all, Mission Software Engineers are driven by a “Whatever It Takes” mindset-executing in an expedient, scalable, and pragmatic way while keeping the mission top of mind and making sound engineering decisions to deliver successful outcomes correctly, on time, and with high quality.

WHAT YOU’LL DO

• Be a champion for Anduril capabilities within a customer environment
• Develop architecture and mission vignettes
• Iterate on core data mesh technology to make optimal use of degraded networks
• Develop connectors and APIs for legacy and cutting edge systems to integrate with Lattice
• Deploy software to non standard environments
• Create data flow pipelines that span horizontally and vertically across disparate networked systems and security domains

REQUIRED QUALIFICATIONS

• Strong engineering background from industry or school, ideally in areas/fields such as Computer Science, Software Engineering, Mathematics, or Physics
• At least 3+ years working with a variety of programming languages such as Java, Python, C++, Rust, Go, JavaScript, etc.
• Experience building software solutions involving significant amounts of data processing and analysis
• Ability to quickly understand and navigate complex systems and established code basesExperience working in a customer / client facing role
• A desire to work on critical software that has a real world impact
• Ability to travel to client sites
• Eligible for SC Clearance

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril’s total compensation package. Additionally, Anduril offers top tier benefits for full time employees, including:

Healthcare Benefits

• US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you.
• UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents.
• IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.

Additional Benefits

• Income Protection: Anduril covers life and disability insurance for all employees.
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development.
• Commuter Benefits: Company funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.

Retirement Savings Plan

• US Roles: Traditional 401(k), Roth, and after tax (mega backdoor Roth) options.
• UK & IE Roles: Pension plan with employer match.
• AUS Roles: Superannuation plan.

Principal Solutions Engineer page is loaded Principal Solutions Engineerlocations: Paris (Victoire): Londontime type: Full timeposted on: Posted Todayjob requisition id: R-211092 WHAT MAKES US, US Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp!At its foundation, SimCorp is guided by our values - caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered.If you like what we're saying, keep reading! Why this role is important to us SimCorp is currently seeking a qualified experienced professional to join our Product Specialist team as a full-time employee, based in our UAE office to support our expansion in the region on Axioma products. The ideal candidate for this role is a motivated quantitative professional seeking an exciting and diverse role working with investment professionals. What you will be responsible for: Establish relationships with clients, and understand their system usage and special implementation requirements to manage and deliver analytics solutions fit to client use cases and secure high retention rates. Resolve complex client portfolio issues and become a subject matter expert on Axioma risk analytics products across asset classes. Ownership and execution of client onboarding and training Work with prospective clients to showcase and position the value of Axioma Analytics Solutions contributing to growth in Europe. Coordinate in-house efforts aimed at enhancing client satisfaction. Interact with quantitative research, operations and product teams as required. Use extensive knowledge of client issues/needs to identify opportunities for business and product development. Contribute to process improvement initiatives. What we value: Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to be good at several of the following and be able to - and interested in - learning the rest. Degree in a quantitative field such as Mathematics, Statistics, Finance, Econometrics, or Engineering. CFA, FRM, CAIA designations 5+ years of experience in quantitative finance in a similar role/industry Solid knowledge of risk modelling techniques and risk analytics across asset classes Solid understanding of pricing models relevant to various financial instruments such as CDS, IRS and FX Derivatives Experience with usage and interpretation of granular and factor risk models Ability to articulate complex concepts and methodologies to end users with varying backgrounds and levels of experience Experience with portfolio optimization and performance attribution systems Understanding of the use of APIs/web services Basic programming data manipulation skills in SQL, Excel, Python, Java, C# Great oral and written communication skills in English. French is also a good to have language for this position High problem-solving and execution skills Benefits Attractive salary, bonus scheme, and pension are essential for any work agreement. However, in SimCorp, we believe we can offer more. Therefore, in addition to the traditional benefit scheme, we provide an extensive work-life balance and opportunities for professional development: there is never just one route - we offer an individual approach to professional development to support the direction you want to take. Visit our career pages to learn more about working at SimCorp: The role allows for flexibility including the option to work from home up to 3 days a week. Next steps Please send us your application in English via our career site as soon as possible, we process incoming applications continually. Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process.For any questions you are welcome to contact Azeta GUITI, LeadTalent Acquisition Partner. If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks.We are eager to continually improve our talent acquisition process and make everyone's experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. WHO WE ARE For over 50 years, we have worked closely with investment and asset managers to become the world's leading provider of integrated investment management solutions. We are 4,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds in general.SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients.SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients.: 3 Locationsposted on: Posted 25 Days Ago

Team Overview

XiP is building a next generation cross asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs.

Our team owns multiple Java Spring Boot Services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. These graphs can fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients.

XiP Compute Services are deployed onto OpenShift and Amazon’s Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google’s Kubernetes Engine to further expand our coverage. Our system scales on demand, and we can run up to tens of thousands of replicas of our services across all asset classes.

Role Overview

We are seeking a Senior Engineer to fill the role of “Applications Development Technology Lead Analyst” on the XiNG large scale distributed calculation platform (XiP).

In this role you will design, build, and maintain the calculation engine at the heart of the XiP platform. This engine is responsible for c. 0.5 billion risk & suitability calculations at Citi every day. A single customer run compresses 17 million minutes of compute into a single 90 minute execution.

Run on hundreds of thousands of pods across the entire XiP platform every day, this calculation engine is both highly performant and rapidly changing to support new scenarios, technologies, and infrastructure.

As an engineer working on the calculation engine, you will work closely with software engineers, DevOps, and our customers to ensure reliable, secure, and scalable operations of our platform.

Responsibilities

• Take part of the shared responsibility for the long term strategic direction of the XiP Calculation Engine: Apply your experience and skills to develop the future versions of the calculation engine. This means making it faster, utilizing resources better, and scaling to even greater sizes. This means adding new features without impacting performance of the platform in an undesirable manner - small changes multiplied by millions of calculations have a high cost. This means solving hard problems like transferring small amounts of data to a huge number of machines.
• Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide mid level developers, providing technical advice, code reviews, and career development support. Allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery. Foster a collaborative and growth oriented team environment, encouraging best practices and continuous learning.
• Implement changes and improvements to Citi’s Risk Calculation Engine, including analyzing and designing improvements to the distribution mechanisms of the engine which regularly parallelises 250,000 hours of compute into a single 90 minute execution: Lead the design, development, and implementation of enhancements to the Risk Calculation Engine, focusing on optimizing its distribution mechanisms. Analyze current parallelisation strategies and identify opportunities to further improve efficiency, scalability, and throughput.
• Operationally support the optimisation of Risk calculations by examining and providing SME level insight into the distributed execution of extremely large calculations: Monitor and analyse the distributed execution of large scale risk calculations, identifying performance bottlenecks and inefficiencies. Provide subject matter expertise to guide operational improvements, leveraging deep technical knowledge to recommend and implement optimisations that enhance calculation speed and resource utilisation.
• Plan, coordinate, and execute strategic changes to the engine to reach the next scaling milestone: Develop and manage strategic initiatives aimed at scaling the Risk Calculation Engine to meet future business demands. Coordinate with stakeholders to ensure that all scaling efforts are aligned with customer needs.
• Provide specialised customer support to optimise and improve large, distributed calculations: Act as a primary point of contact for clients to address issues and optimise inefficiencies that arise during distributed workload execution.

Qualifications

• Multiple years professional software development experience with Java.
• Solid experience with Java frameworks (e.g., Spring, Spring Boot, Quarkus).
• Experience designing, building, and maintaining large scale, distributed systems.
• Experience with RESTful API design and implementation.
• Strong understanding of object oriented programming and design patterns.
• Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus.
• Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerisation (e.g., Docker, Kubernetes) is desirable.
• Experience with unit testing, integration testing, and test automation frameworks (e.g., JUnit, Mockito).
• Experience working in Agile/Scrum development environments.
• Practical experience with Python for scripting, automation, or data processing tasks.
• Experience with CI/CD pipelines and DevOps practices is a plus.

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Job Family Group: Technology

Job Family: Applications Development

Time Type: Full time

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Edinburgh, Scotland, United Kingdom
London, England, United Kingdom
Birmingham, England, United Kingdom

Job Description

Job Type: Permanent

Location: This role can be based in either our London, Birmingham, or Edinburgh offices with time spent working in the office and at home.

Flexible working: All roles are open to part-time, job-share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process. You can read more about flexible working here.

Closing Date: 1 st May 2026

Salary and benefits: Upto £145k depending on experience plus an indicative bonus range of 30-60% private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more.

Who are we?

We’re Standard Life, a retirement specialist focused entirely on retirement savings and income. We champion the belief that everyone’s journey to and through retirement can be better, and for more than 200 years, we’ve been helping our customers plan and prepare for their financial futures.

Life today is increasingly complicated, uncertain and unpredictable. People move through different careers, face unexpected moments and navigate important choices. We offer our colleagues flexibility, trust and benefits that work for whatever life brings. In return we expect curiosity, connection, accountability and high standards. We make room for what matters - so you can bring your best, every day.

The role

As a Senior Quants Risk Manager, you’ll play a central role in ensuring the integrity, robustness and appropriateness of the models that underpin key decisions across our business. Working within our Transaction and Quant Modelling Oversight team, you’ll lead end-to-end reviews of a wide range of models covering asset pricing, liability valuation, ALM, and credit.

You’ll provide independent, evidence-based challenge on both the methodology and implementation of models, ensuring they meet regulatory expectations, internal standards and industry best practice. The role requires close collaboration with model developers as well as engagement with senior stakeholders across risk, finance, and asset management.

You will have access to production code and develop benchmark models and analytical tools in state-of-the art asset systems. This is an opportunity to apply deep quantitative expertise to high-impact work, influence modelling strategy, and help shape how we manage risk across a growing and strategically important area of the business.

What are we looking for?

• Strong academic background in a quantitative discipline (e.g. mathematics, physics, statistics, or actuarial science), ideally to MSc or PhD level
• Demonstrated experience in a quantitative role within insurance or financial services (e.g. model validation, model development, or actuarial modelling) with the ability to independently lead reviews of complex models
• Understanding of stochastic modelling techniques such as Monte Carlo, interest rate modelling, or asset-liability modelling
• Good understanding of insurance regulatory frameworks (e.g. Solvency II)
• Strong programming (e.g., Python, VBA, or actuarial modelling platforms) with the ability to review quantitative code.

We want to hire the whole version of you.

We are committed to ensuring that everyone feels accepted and welcome. Applicants from all backgrounds are encouraged to apply, and if your experience looks different from what we’ve advertised and you believe that you can bring value to the role, we’d love to hear from you.

If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best.

Location

London

Employment Type

Full time

Location Type

Hybrid

Department

AI

We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters.

Responsibilities

• Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
• Manage and optimize Slurm-based HPC environments for distributed training of large language models
• Develop robust APIs and orchestration systems for both training pipelines and inference services
• Implement resource scheduling and job management systems across heterogeneous compute environments
• Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
• Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
• Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
• Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands

Qualifications

• Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
• Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
• Experience with deploying and managing distributed training systems at scale
• Deep understanding of container orchestration and distributed systems architecture
• High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
• Experience managing GPU clusters and optimizing compute resource utilization

Required Skills

• Expert-level Kubernetes administration and YAML configuration management
• Proficiency with Slurm job scheduling, resource management, and cluster configuration
• Python and C++ programming with focus on systems and infrastructure automation
• Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
• Strong understanding of networking, storage, and compute resource management for ML workloads
• Experience developing APIs and managing distributed systems for both batch and real-time workloads
• Solid debugging and monitoring skills with expertise in observability tools for containerized environments

Preferred Skills

• Experience with Kubernetes operators and custom controllers for ML workloads
• Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
• Familiarity with GPU cluster management and CUDA optimization
• Experience with other ML frameworks like TensorFlow or distributed training libraries
• Background in HPC environments, parallel computing, and high-performance networking
• Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
• Experience with container registries, image optimization, and multi-stage builds for ML workloads

Required Experience

• Demonstrated experience managing large-scale Kubernetes deployments in production environments
• Proven track record with Slurm cluster administration and HPC workload management
• Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
• Experience supporting both long-running training jobs and high-availability inference services
• Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Competitive salary UK: hybrid: 3 days/week London (Canary Wharf) + 2 days/week remote

NTT DATA is currently looking for an SRE Observability Engineer (hybrid working: London Canary Wharf + remote) for our growing team in the UK.

Key responsibilities

• Collaborating across various organizations within the company to understand and develop observability solutions for enterprise-wide deployment at scale.
• Managing the legacy monitoring stack across the Production Management organization within the company.
• Driving the strategic delivery of end-to-end Observability solutions in the company.
• Providing in-depth analysis with interpretive thinking to define problems and develop innovative solutions.
• Directly impacting the business by influencing strategic functional decisions through advice, counsel, or provided services.
• Persuading and influencing others through strong and comprehensive communication and diplomacy skills.
• Operating with a global footprint.
• Performing other duties and functions as assigned.

Essential skills

• OpenShift/Kubernetes Administration: Experience deploying, managing, and troubleshooting containerized applications on OpenShift/Kubernetes, including resource management and networking.
• Grafana & Observability Stack:
  • Proficiency in administering Geneos ITRS at scale.
  • Proficiency in administering Grafana (user management, data sources, dashboards, alerts).
  • Working knowledge of Grafana backend components: Mimir (metrics), Loki (logs), and Tempo (traces).
  • Experience with Prometheus for metric collection and PromQL for querying.
• Helm Chart Management: Experience with Helm for deploying applications, including creating, modifying, and managing Helm charts, library charts, and dependencies.
• Technical Documentation: Ability to create clear and concise documentation for systems and processes.

Desired Skills

• Application Deployment: Ability to deploy applications using Lightspeed Enterprise.
• Google Cloud Operations: Experience with Google Cloud operations.
• Scripting & Automation: Experience with Bash or Python scripting for automating operational tasks.

Work location

Hybrid: 3 days/week on client site (London, Canary Wharf), 2 days/week remote.

We offer a comprehensive, locally competitive benefits package.

NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement and Pay Transparency information, please refer to

Job Segment: Cloud, Consulting, Technology

Job Description:

The person will support the test environments to enable delivery of features to mobile/online banking customers. The person will have hands-on experience with CICS webservices, ZOS Connect, DB2, SQL along with understanding of AWS Services.

Key Responsibilities:

• Provide expert support and timely resolution of environment issues focusing on mainframe systems and related infrastructure.
• Work on test data support requirement for the teams
• Collaborate closely with DataPower and AWS teams to understand integration points and troubleshoot cross-platform dependencies.
• Implement best practices for environment stability, performance tuning, and security compliance.
• Produce detailed technical documentation, status reports, and issue logs for ongoing support and knowledge sharing.
• Communicate effectively with cross-functional teams including developers, infrastructure engineers, and project managers to ensure timely resolution of issues and alignment on priorities.
• Work on automation using but not limited to Python, Shell scripting, and GitLab pipeline.

Required Skills and Qualifications:

• Proven experience in mainframe environments, particularly with CICS webservices, ZOS Connect EE, DB2, and batch processing.
• Strong skills in mainframe transaction management, JCL, and system debugging tools.
• Excellent verbal and written communication skills to effectively articulate technical issues and solutions.
• Ability to work under pressure and manage multiple priorities in a fast-paced environment.
• Strong problem-solving skills and a proactive approach to identifying and resolving issues.

Senior Fullstack Engineer (Admin & AI Enablement)

Team: Admin & AI Enablement

Location: Remote / London / Hybrid (TBD)

This role will be a key part of building Midnite’s new internal back office platform and shaping how internal tools evolve across the business. You’ll work across the stack to deliver high-quality admin experiences used by teams every day, while also contributing to practical AI enabled improvements in both internal tooling and engineering workflows. This is a senior individual contributor role with meaningful ownership, particularly across the frontend experience, working closely with Product, Design, and engineering teammates to build scalable systems from the ground up.

Job Responsibilities

• Build full stack features for Midnite’s internal back office platform.
• Own features end to end across backend APIs and internal UIs.
• Write production code across Python backend and modern front end technologies, primarily Vue + Tailwind.
• Work closely with Product and Design to implement high quality internal experiences.
• Design and build APIs as part of full stack feature delivery.
• Contribute to practical AI enabled features and internal tooling improvements.
• Explore ways AI and automation can improve engineering workflows and team efficiency.
• Participate in code reviews and maintain a high quality bar across the codebase.
• Mentor junior engineers and contribute to raising the technical standard of the team.

Required Qualifications

• Brings 5+ years of engineering experience across front end and back end.
• Has strong front end capability in a modern JavaScript framework such as Vue, React, or Angular.
• Has back end development experience in Python or a similar language.
• Can build end to end features across UI, API, and database layers.
• Has worked closely with Product to build good product experiences.
• Brings strong ownership and can operate effectively in a fast moving, ambiguous environment.
• Has an interest in AI tooling, automation, and practical experimentation.
• Communicates clearly and works well with Product, Design, and engineering teammates.

Benefits

• Private health insurance with zero excess, including optical cover and optional dental.
• Income protection to protect your earnings and give you peace of mind.
• Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years.
• Flexible working and a fully supported home office setup so you can do your best work from home.
• Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees.
• Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want.
• Retail discounts and subscription perks across a wide range of brands.
• Quarterly team socials to connect, celebrate and have fun together.

At Midnite, we’re committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders.

We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA)

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go to market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product line in a meaningful way.

The Lakewatch product line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer facing security solutions (of which 3+ years are in a customer facing, pre sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection as code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment.
• Collaborate with GTM leadership and account teams to design and execute high impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field derived, data driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier 3 escalation point for the field, ensuring customer success in mission critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer facing, pre sales or consulting role influencing technical executives, driving high level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third party consulting organizations to drive customer outcomes in cybersecurity.
• Hands on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics.

Compliance

If access to export controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Join us and shape the future of risk technology with your expertise in data engineering and software development. You will have the opportunity to push boundaries, innovate, and make a meaningful impact on our business. We value diversity, inclusion, and respect, fostering a collaborative environment where your ideas matter. Experience career growth and mobility while working with market-leading technology products. Be part of a team that thrives on creativity and continuous improvement.

As a Senior Lead Software Engineer at JPMorgan Chase within the Data Platform & Strategy team within Corporate Risk Technology, you will design, build, and enhance advanced data engineering solutions. You will play a pivotal role in delivering secure, stable, and scalable technology products that support our business objectives. You will collaborate with agile teams, contribute to technical strategy, and drive innovation across multiple technical areas. Your work will help shape the team culture and the impact of our technology solutions.

Job Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting to solve complex problems
• Develop secure, high-quality production code for data-intensive applications and review code written by others
• Identify opportunities to automate remediation of recurring issues and improve operational stability
• Lead evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical credentials
• Drive communities of practice across Software Engineering to promote new and leading-edge technologies
• Foster a team culture of opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills

• Proficiency in Engineering & Architecture, AI/ML, with hands on experience designing, implementing, testing, and ensuring operational stability of large scale enterprise data platforms
• Advanced skills in one or more programming languages such as Java, Python, C/C++, or C#
• Practical experience delivering system design, application development, testing, and operational stability
• Working knowledge of relational and NoSQL databases and data lake architectures
• Experience developing, debugging, and maintaining code with modern programming languages and database querying languages
• Experience in large scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal)
• Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies, CI/CD, application resiliency, and security
• Practical cloud native experience

Preferred Qualifications, Capabilities, and Skills

• Experience with modern data technologies such as Databricks or Snowflake
• Hands on experience with Spark/PySpark and other big data processing technologies
• Demonstrated proficiency in software applications and technical processes within disciplines such as data engineering, cloud, artificial intelligence, machine learning, or mobile
• Knowledge of the financial services industry and their IT systems

Let's be Stoxx is seeking a Principal Software Engineer to bring expert-level technical leadership to the development and deployment of our financial data distribution platform. We are in the process of a fully re-architecting our distribution ecosystem to a modern componentised set of solutions using GCP technologies. In this IC role, you will collaborate with Software Product Management to establish direction and refine requirements and within the Engineering team to design, build, prove and migrate to the new stack.You'll be passionate about delivery of incremental value. You have experience defining and leveraging Generative SDLC approaches to rapidly turn complex requirements and designs into capable solutions. You'll be able to demonstrate comfort and success in a matrixed organisation where reporting lines do not always dictate technical direction - in a culture where the global Data Engineering functions collaborate to achieve shared success. You will collaborate with cross-functional peers and stakeholders to share best practice and knowledge and drive continuous improvement initiatives.You'll be a humble expert, willing and able to meet people at their level and both help them and learn from them. You'll lead by example, using data and proof-of-concepts to bring people along and make them successful. You'll own deliverables as well as co-developing solutions with your peers and colleagues, to help others develop.Success in this role means you successfully navigate the line between personal and team value delivery - you embody beliefs and practices that helping your peers and colleagues grow and deliver their best, improves and reflects back on you too. Responsibilities Technical architect - Co-own our data distribution architecture and its evolution with peer Principal Data Engineers Generously share your experience to help your peers develop and grow Interpret product needs, requirements and enterprise policies into project requirements Be hands on, do what you expect others to do Help delivery teams implement your project requirements, focusing on automation and maximising reuse, quality and value Advocate for our architecture and solutions, demonstrating technical principles and business value and constantly seek feedback Assist with recruiting activities Keep abreast of emerging trends and technologies in cloud data distribution and operation, to form and disseminate new insights Requirements 10+ years experience, with at least 5 in senior data engineering roles, with focus on data distribution in the cloud Experience as a technical thought leader Experience coaching and mentoring high-performing teams Experience leading the development and deployment of large-scale, complex data pipelines Experience using and getting the best out of generative AI approaches API first mindset Design and delivery of decomposed batch preparation and real-time API pipelines Experience of user-entitlement management Experience of cloud development, the benefits and challenges Design and completion of complex migration projects, from technical and process/systems perspectives Experience of GCP products across database, serverless, containerization and API Pragmatic experience using agile to deliver incremental value Experience working in a global or multinational team setting Strong communication and collaboration skills Focus on simplicity, automation and observability Bachelor's or master's degree in computer science or related field Expertise in Python, Golang, SQL, Apigee Desirable Experience building and integrating agentic RAG solutions into data pipelines Experience with data cataloguing capabilities Domain knowledge of financial market data and financial index data models and feeds What You Can Expect from Us At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow-professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let's empower, collaborate, and inspire. Let's be . About ISS STOXX ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. STOXX(R) and DAX(R) indices comprise a global and comprehensive family of more than 17,000 strictly rules-based and transparent indices. Best known for the leading European equity indices EURO STOXX 50(R), STOXX(R) Europe 600 and DAX(R), the portfolio of index solutions consists of total market, benchmark, blue-chip, sustainability, thematic and factor-based indices covering a complete set of world, regional and country markets. STOXX and DAX indices are licensed to more than 550 companies around the world for benchmarking purposes and as underlyings for ETFs, futures and options, structured products, and passively managed investment funds. STOXX Ltd., part of the ISS STOXX group of companies, is the administrator of the STOXX and DAX indices under the European Benchmark Regulation. Visit our website: View additional open roles: Institutional Shareholder Services ("ISS") is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as "protected status"). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. Let's empower, collaborate, and inspire one another. Let's be !ISS STOXX GmbH, through its group companies, is a leading provider of comprehensive and data-centric research and technology solutions that help capital market participants identify investment opportunities, detect qualitative and quantitative portfolio company risks, and meet evolving regulatory requirements. With roots dating back to 1985, we today deliver world-class benchmark and custom indices across asset classes and geographies and serve as a premier source of independent corporate governance, sustainability, cyber risk, and fund intelligence research, data, and related offerings. Our products and services give clients the scale and leverage they need to grow their business more effectively and efficiently. ISS STOXX, which is majority owned by Deutsche Börse Group, is comprised of more than 3,400 professionals operating across 33 global locations in 19 countries. Its approximately

Senior Java/AWS Engineer - Regulatory Reporting (Financial Services)

London (Hybrid) Permanent

We’re hiring a Server-Side Java/AWS Engineer to join a global investment management firm’s regulatory reporting team. This is a great opportunity to work on business-critical systems that support transaction reporting across EMEA/APAC.

What you’ll do:

• Build scalable microservices using Java (Spring Boot) on AWS
• Develop RESTful APIs and cloud-native solutions
• Work on regulatory reporting platforms with real business impact
• Collaborate closely with product and business teams

Tech stack:

Java (17+), Spring Boot, AWS (Lambda, S3, DynamoDB), REST APIs, Graph QL, Python (nice to have), CI/CD

What we’re looking for:

• Strong backend engineering experience (Java + AWS)
• Microservices and API design expertise
• Exposure to financial services or regulatory environments (preferred)

High visibility role, strong engineering culture, and opportunity to work on large-scale, mission-critical systems.

EBSA - IDAM DevOps HO - SFIA 4/5

Rate 650 - 700

Clearance required: Security Clearance (SC) required NPPV3 eligible

Nationality requirement: Single National

Location: London

Sector: Public

Job Description:

Position

Senior DevOps Engineer - Kubernetes & OpenLDAP

Security Clearance (SC) required NPPV3 eligible

Role Summary

Highly experienced DevOps engineer with deep expertise in Kubernetes platform engineering and OpenLDAP integration, operating at senior level. Responsible for designing, implementing, and leading secure, scalable containerised platforms within a regulated environment. Provides hands on technical leadership while managing a small DevOps team delivering test focused CI/CD capabilities.

Core Expertise (Heavy)

Kubernetes (Platform Engineering & Operations)

• Cluster design, provisioning, upgrade and lifecycle management
• RBAC, network policies, pod security standards
• Ingress controllers, service mesh integration
• Multi-environment strategy (Dev/Test/Prod)
• Troubleshooting complex production issues
• Helm/Kustomize-based deployments
• Performance tuning and resilience engineering

OpenLDAP (Enterprise Identity Integration)

• Installation, configuration and hardening of OpenLDAP
• Schema design and directory structuring
• Secure authentication integration (LDAPS, certificates, RBAC mapping)
• Kubernetes authentication via LDAP
• Identity federation patterns across CI/CD tooling
• High availability and replication strategies
• Troubleshooting directory performance and sync issues

Jenkins (CI/CD Architecture & Engineering)

• Pipeline-as-code (Groovy)
• Shared libraries and pipeline governance
• Integration with Kubernetes agents
• Secure credential management
• Test automation integration
• Release orchestration

Strong Working Knowledge (Moderate)

• Docker - image optimisation, multi stage builds, secure base images
• Python - automation, scripting, infrastructure tooling

Working Knowledge (Light)

• AWS - IAM, networking concepts, container services
• Terraform - infrastructure as code principles, module consumption

Team Leadership

• Accountability for individual engineer performance, development and delivery
• Regular performance feedback and coaching
• Skills development and knowledge uplift within the team

Delivery & Governance

• Point of contact for DevOps related requests
• Assist the tech lead with technical design authority for incoming work
• Oversight and governance of production releases
• Ensuring secure delivery aligned to SC cleared environment requirements

Key Characteristics

• Operates independently within defined frameworks (SFIA Level 4)
• Provides technical leadership and direction
• Makes informed decisions in complex secure environments
• Strong stakeholder communication skills
• Security first mindset suitable for government / regulated environments

This role requires additional vetting, which means this position may take longer than the usual onboarding process. Please do not hesitate to get in touch if you have any queries.

Junior Algorithmic Power Trader

Full-time (shift-based, including weekends)
London - Paddington

At Quark, we bring together talented people across energy trading, quantitative research, and software engineering to build algorithmic trading systems for electricity markets.

We are a proprietary trading firm focused on developing algorithmic and high-frequency trading strategies in power markets, an area where automation is rapidly transforming how electricity markets operate.

Quark was founded in 2020 as a joint venture between Liger Investments and Habitat Energy.

Liger Investments is a global proprietary trading firm specialising in algorithmic trading of futures and derivatives across major exchanges. Habitat Energy optimises flexible energy assets across the UK, Australian and US electricity markets and brings deep electricity market and data science expertise. Habitat Energy is a portfolio company of Quinbrook Infrastructure Partners.

We are looking for analytical, curious and highly motivated individuals who want to work at the intersection of quantitative analysis, software systems and real-time trading.

This is a hands-on trading role where you will learn how automated strategies interact with live electricity markets, work closely with traders and quantitative developers, and contribute to improving our trading performance.

Key Responsibilities

• Monitor and manage the real-time execution of algorithmic trading strategies
• Manage open market risk when required
• Work with senior traders and quantitative developers to adjust strategy parameters and identify new trading opportunities
• Test and evaluate trading strategies using historical and live market data
• Perform post-trade analysis to understand performance and identify improvements
• Contribute ideas to improve trading tools, monitoring systems, and processes
• Produce structured market analysis to support trading decisions

Working Pattern

This is a shift-based role and requires:

• Working every Saturday and Sunday
• Three additional weekdays (Monday-Friday)
• Some early morning or late evening shifts
• Selected Bank holiday coverage

The role is based in our Paddington office in London.

Part of the initial training will take place in Kraków, where our development team is based.

Candidates should apply only if they are comfortable with this working pattern.

Requirements

We are looking for candidates with strong analytical ability and the motivation to operate in a fast-moving, data-driven trading environment.

Essential

• Strong numerical and problem-solving skills
• Ability to analyse data and reason about complex systems
• Python programming experience
• Ability to communicate complex ideas clearly and concisely
• High level of attention to detail and accountability

Typical background

• Degree in Mathematics, Physics, Engineering, Computer Science, Economics or another quantitative discipline
• Strong academic performance

Nice to Have

• Understanding of electricity market dynamics, particularly UK or European prompt power markets
• Experience working with data analysis or statistical modelling
• Familiarity with trading, probability, or risk-based decision making
• Interest in strategic games involving probabilistic thinking (e.g. poker, strategy games)

What We Offer

• Salary: £45,000 -£ 50,000 + performance bonus
• Direct exposure to live algorithmic trading systems
• Opportunity to work closely with experienced traders, quantitative researchers, and engineers
• A collaborative and intellectually challenging environment
• Significant opportunities for learning and career development

Eligibility

Applicants must have the right to work in the UK.
Unfortunately we are not able to sponsor visas for this role.

TheSolutions Architect (AI/BI) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (AI/BI) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The AI/BI product-line requires the following core technical competencies:

• Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in a client or customer environment
• Ability to advise customers in lakehouse analytics architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue
• Certification and/or demonstrated competence in data visualisation and analytics systems along with one of Azure, AWS or GCP cloud providers
• Demonstrated competence in the Lakehouse architecture including hands on experience with Apache Spark, Python and SQL

The impact you will have

• Collaborate with GTM leadership and account teams to design and execute high impact engagement strategies across your territory.
• As a trusted advisor, serve as an expert Solutions Architect and “champion,” building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and developing customer facing collateral that helps increase technical knowledge and thought leadership.
• Influence product roadmap by translating field derived, data driven insights into strategic recommendations for Product and Engineering teams
• Handle the most complex technical challenges in this product line by acting as the tier 3 escalation point for the field, ensuring customer success in mission critical environments.
• 6+ years in a customer facing, pre sales or consulting role influencing technical executives, driving high level data strategy and product adoption.
• Proven ability to co plan large territories with Account Executives and operate in a highly coordinated, cross functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third party consulting organizations to drive customer outcomes.
• Proficient in programming, debugging, and problem solving using SQL and Python.
• Hands on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• A track record of driving complex projects to completion in fast paced, customer facing environments.

About Databricks

If access to export controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Team Overview

XiP is building a next-generation cross-asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs.

Our team owns multiple Java Spring Boot Services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. These graphs can fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients.

XiP Compute Services are deployed onto OpenShift and Amazon’s Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google’s Kubernetes Engine to further expand our coverage. Our system scales on-demand, and we can run up to tens of thousands of replicas of our services across all asset classes.

Role Overview

We are seeking a Senior Engineer to fill the role of ‘Applications Development Technology Lead Analyst’ on the XiNG large scale distributed calculation platform (XiP).

In this role you will design, build, and maintain the calculation engine at the heart of the XiP platform. This engine is responsible for c. 0.5 billion risk & suitability calculations at Citi every day. A single customer run compresses 17 million minutes of compute into a single 90-minute execution.

Run on hundreds of thousands of pods across the entire XiP platform every day this calculation engine is both highly performant and rapidly changing to support new scenarios, technologies, and infrastructure.

As an engineer working on the calculation engine. You will work closely with software engineers, DevOps, and our customers to ensure reliable, secure, and scalable operations of our platform.

Responsibilities

• Take part of the shared responsibility for the long-term strategic direction of the XiP Calculation Engine: Apply your experience and skills to develop future versions of the calculation engine. This means making it faster, utilizing resources better, and scale to even greater sizes. Adding new features without impacting performance of the platform in undesirable manner. Solve hard problems like transferring small amounts of data to a huge number of machines.
• Serve as advisor or coach to team members, allocating and overseeing work: Mentor and guide mid-level developers, providing technical advice, code reviews, and career development support. Allocate tasks based on skill sets and project priorities to ensure balanced workloads and timely delivery. Foster a collaborative and growth-oriented team environment.
• Implement changes and improvements to Citi’s Risk Calculation Engine, including analyzing and designing improvements to the distribution mechanisms: Lead the design, development, and implementation of enhancements to the Risk Calculation Engine, focusing on optimizing its distribution mechanisms. Analyze current parallelization strategies and identify opportunities to improve efficiency, scalability, and throughput.
• Operationally support the optimization of Risk calculations by examining and providing SME level insight into the distributed execution of extremely large calculations: Monitor and analyze distributed execution of large-scale risk calculations, identifying performance bottlenecks and inefficiencies. Provide subject matter expertise to guide operational improvements and recommend optimization to enhance calculation speed and resource utilization.
• Plan, coordinate, and execute strategic changes to the engine to reach the next scaling milestone: Develop and manage strategic initiatives aimed at scaling the Risk Calculation Engine to meet future business demands. Coordinate with stakeholders to ensure that all scaling efforts are aligned with customer needs.
• Provide specialized customer support to optimize and improve large, distributed calculations: Act as a primary point of contact for clients to address issues and optimize inefficiencies during distributed workload execution.

Qualifications

• Multiple years professional software development experience with Java.
• Solid experience with Java frameworks (e.g., Spring, Spring Boot, Quarkus).
• Experience designing, building, and maintaining large-scale, distributed systems.
• Experience with RESTful API design and implementation.
• Strong understanding of object-oriented programming and design patterns.
• Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus.
• Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is desirable.
• Experience with unit testing, integration testing, and test automation frameworks (e.g., JUnit, Mockito).
• Experience working in Agile/Scrum development environments.
• Practical experience with Python for scripting, automation, or data processing tasks.
• Experience with CI/CD pipelines and DevOps practices is a plus.

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Description Please wait Data AnalystReq ID: 57476Posting Start Date: 13/04/2026Job Function: Software EngineeringDivision: NetworksJob Location: GBR Ipswich - Adhara Building, GBR-London-BTHQ One BrahamAdvertised Salary: Competitive + great benefits All Locations: Ipswich or London Working Style: Hybrid (3 days a week in office, 2 days from home) About the role We are renowned for designing and running the best operational teams in the industry. We support some of the biggest brands in the UK across both mobile and fixed networks, and we invest heavily in our people and technology to make sure our customers get the best experience.It's in our culture to evolve and become better and with the emergence of AI and automation, we are keen to embrace the technology and understand the art of the possible.We are building a specialist Data & AI capability within Network Operations Transformation to accelerate our shift toward smarter, more proactive operations. The Data Analytics Specialist will be a key part of that capabilityturning operational data into trusted insight, clear reporting, and decision support that underpins automation and AI initiatives.This role sits at the heart of how we measure progress and prove value. You'll help create consistent views of performance, demand, and workflow visibility, enabling teams to identify issues earlier, prioritise better, and optimise business outcomes. This includes partnering with stakeholders and tooling teams to ensure insight is scalable and reliable not just bespoke reporting.As part of the transformation team, you will bring curiosity, transparency, and continuous improvement building strong stakeholder relationships and raising data confidence through clear definitions, quality checks, and repeatable analysis.This role offers opportunities to explore modern analytics approaches, build your skills in operational data, and play a visible part in shaping the next generation of Network Operations. What you'll be doing Lead the scoping, design, and delivery of analytics across Network Operations initiatives, translating operational questions into clear analytical approaches and ensuring outputs are relevant, trusted, and actionable. Working with the Network Operations Transformation team, providing the analytical insight and performance visibility required to support automation, optimisation, and change. Conduct detailed analysis on complex operational datasets, often spanning multiple systems, to evaluate performance, demand, workflow behaviour, and operational outcomes. Develop advanced analytical products using appropriate analytics tooling to support deep dive investigations, audits, and repeatable insight generation for senior stakeholders. Design and build dashboards and visualisations that communicate insight clearly and effectively to both technical and non technical audiences. Improve efficiency through automation and standardisation, reducing manual effort in repeatable data analysis, and reporting by establishing reusable patterns, templates, and analytical standards. Champion continuous improvement in data analytics, staying current with emerging tools, techniques, and best practices, and actively sharing knowledge to improve insight quality, data confidence, and analytical maturity across Network Operations. Essential Skills / Experience Strong expertise in data analysis, including identifying trends, patterns, and root causes within complex, multi source datasets, and applying best practice across the end to end analytics lifecycle to deliver successful data and AI initiatives. Hands on technical expertise using SQL, Python, R (or similar analytical tools) to query, validate, analyse, and automate analytical workflows at scale. Solid understanding of data structures, metrics, and performance measures, and how these are used to enable data led decision making and performance management. Strong knowledge of how data is curated, extracted, transformed, and visualised, with the ability to assess data quality, limitations, robustness, and suitability for analysis. Experience designing effective dashboards and data visualisations that clearly communicate insight, context, and recommended actions to technical and non technical audiences. Understanding of how scalable and maintainable analytical data pipelines are built and sustained, with consideration for reuse, quality, and long term sustainability. Agile and collaborative approach to delivery, able to work effectively through changing priorities and evolving analytical demands. Clear, confident communicator, capable of presenting insights and recommendations to diverse stakeholders. Ability to adapt quickly to new tools, technologies, and analytical requirements in a fast moving environment. Desirable Skills / Experience Proven experience working in large scale, complex organisations, applying structured and data driven analysis to support operational and transformation decision making. Strong business acumen, with an understanding of operational performance drivers, KPIs, and how analytics supports prioritisation, optimisation, and transformation outcomes. Experience within Network Operations environments, including exposure to service assurance, repair processes, tools, and systems. Experience with data visualisation tools such as Grafana, Apache Superset, Qlik, or Streamlit. Awareness of modern data platforms and analytics technologies, including distributed data systems, analytical databases, and ETL/ELT tooling, and how these enable scalable analytics and reporting. Ability to build and enhance data solutions or products, with a continuous improvement mindset. Enthusiastic about learning and applying new technologies, demonstrating a strong growth mindset. Our Package Tailored benefits make a real difference. That's why we offer a comprehensive range to support your growth, wellbeing, and everyday life. You can design the package to suit you and your lifestyle. Your core benefits include:• 10% on target annual bonus • Access to an online private GP 24/7 for you and your immediate family • Market-leading paid carers leave with up to 2 weeks off • Equalized maternity, paternity, and adoption leave - 18 weeks' full pay and 8 weeks' half pay • Discounted EE and BT products, including mobile and broadband • Market leading Pension scheme - 5% from you and 10% from us • Holiday purchase schemeYou can select additional benefits, including healthcare, dental, gym memberships and more when you're ready.BT Group is the UK's leading communications group and the holding company behind some of the country's most recognised brands - including BT, EE, Openreach and Plusnet. Our purpose is as simple as it is ambitious: we connect for good. Our customers include consumers, small, medium and large businesses, public sector organisations and other communications providers.BT Group's role is about setting direction, unlocking value and creating the conditions for our brands and businesses to thrive.Having come through the most capital-intensive phase of our fibre investment, our focus now is on what comes next - simplifying how we operate, using technology and AI to work smarter, and organising ourselves to serve customers better and grow sustainably. Group teams shape strategy, policy, brand, capital allocation and transformation, helping the whole organisation perform at its best.We have a singular culture that unites all our people: we are customer-first challengers, who are committed, clear and connected. These behaviours unite us as one team to deliver for our colleagues, our customers, our stakeholders and the country. Joining BT Group means working at the heart of a business that matters to the UK, with the opportunity to shape decisions, influence outcomes and help set the future

Location: London

Business Area: Engineering and CTO

Ref

Description & Requirements

Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to capital markets. Bloomberg’s Data Technology Infrastructure Department designs and builds large scale platforms to acquire financial reference and pricing data globally from various sources, delivering billions of data points daily to clients for investment analysis.

The ETL Pipeline Orchestration Platform team owns a low code platform that helps engineers and analysts author and manage data transformation, derivation, validation and database loading themselves. As adoption accelerates, we are redesigning key components to support further throughput and resiliency while maintaining the availability of the system.

What’s in it for you?

We are the connecting tissue across the various core capabilities offered by our sibling teams. If you join our team, you will be working on solving the fundamental problems in event driven orchestration systems using both open source technologies as well as in house ones. We are a multi lingual team taking care of python applications, performant queue broker in Go to C based Python extensions and everything in between. If you have a knack for distributed systems or a love for orchestration platforms, join us!

Future Initiatives

We would like to work on the following in this year and next:

• Develop, deploy and integrate our internal priority queue system to mitigate head of line blocking issues and optimize the time to market for the most important tasks
• Deprecate the on cloud orchestration system by unifying with on prem system
• Component registration / management faculty to make the onboarding processing easier for the service owners
• Introduce multi tenancy with granular privileging for both pipeline creation and edit time as well as runtime
• Better support and capability for creation of DAG in orchestration
• Programmatic recipe creation, modification and interaction to be API first
• LLM integration to assist in authoring ETL tasks

We’ll trust you to:

• Work with us to design the user friendly, fault tolerant and scalable orchestration platform
• Participate in the full SDLC of various components and systems that make up of the orchestration platform
• Familiarize yourself with the Data Processing / Analysis tasks taken on by the Data Department and systems developed by our sister teams
• Have your antenna up and bring the latest development in OSS and capabilities into our stack
• Mentor less experienced members of the team

You’ll need to have:

• Demonstrable experience building fault tolerant and horizontally scalable distributed applications / systems dealing with distributed system specific concerns
• Demonstrable experience writing production code in either Python, Go, Rust, JavaScript/TypeScript or Java
• Strong problem solving skills

We’d love to see:

• Knowledge of Database Systems and trade offs in the distributed systems
• Familiarity with API Designs
• Familiarity with Orchestration Frameworks such as Apache Airflow, Argo Workflows, Dagster etc.
• Experience working with and designing systems utilizing AWS

If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Head of MAF Investment Risk page is loaded Head of MAF Investment Risklocations: London (UK)posted on: Posted Todayjob requisition id: R-167714 Please note this position is based in London and the successful candidate's contractual location will be London; other locations cannot be considered. Head of MAF Investment Risk At Aviva Investors, our expertise is in matching the right investment approach to each client's unique needs. As the global asset management business of Aviva plc, we bring together our broad investment capabilities to deliver client-focused solutions worldwide. Managing £253 billion in assets, our 1,000 strong team across nine countries is brilliantly connected, collaborative, and focused on delivering outcomes that truly matter.Working together and acting responsibly are central to how we operate. We take time to understand what our clients want to achieve and design solutions that last - strengthening every portfolio with diverse perspectives and integrated thinking. Our long track record in sustainable investing reflects our commitment to doing the right thing for clients and communities alike.Everyone at Aviva Investors plays a part in creating an exceptional client experience. With the scale and influence to make a real difference, we take our responsibility seriously. Join us and you'll find an inclusive, supportive environment where your contribution is valued, high performance is recognised, and you're empowered to shape your development. We are recruiting for Head of MAF Investment Risk to join our team. This is a great opportunity for someone who has experience in managing and developing a team of risk professionals with a clear understanding of investment risk as understood and practised across the Asset Management industry. In an industry built on trust, our Risk & Compliance team is essential to ensuring we uphold the highest standards of integrity, transparency, and governance. As part of this team, you'll help manage risk in a fast-changing regulatory landscape, safeguard client assets, and contribute to ethical, responsible investing. A bit about the role: Reporting into the Director of Investment and Credit Risk, the Head of MAF Investment Risk works closely with the Heads of Investment Risk across Equities, Fixed Income & Macro, and Credit & Private Markets to provide independent and robust risk oversight. This role leads a global team of Risk Managers and Analysts, delivering a clear and accurate view of the overall risk profile across MAF portfolios, while maintaining and further developing the investment risk framework covering market, credit, liquidity and ESG risks at regional, sector, rates, spread, sensitivity and factor levels. The role is also responsible for the ongoing development of a comprehensive stress testing framework across the full range of MAF funds. In addition, the Head of MAF Investment Risk provides strong leadership and guidance to the team, setting clear roles and responsibilities, prioritising and delegating business critical activities and risk projects, and fostering a value add, forward thinking approach to challenging risk versus reward. Through effective governance, regular engagement and oversight, the role drives efficient risk processes, high quality reporting, and the delivery of key milestones to support the daily and monthly operation of the MAF risk function. Skills and experience we're looking for: Knowledge of BlackRock Aladdin is a plus The ability to code in Python is a plus Excellent knowledge of MAF structures and markets Substantial experience in market risk, buy-side firm/ Asset Management industry Ability to lead, manage and train a team of risk managers and analysts What you'll get for this role: Our purpose - with you today, for a better tomorrow - is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague: Competitive salary (depending on skills, experience, and qualifications). Discretionary bonus opportunity - depending on individual performance and Aviva Investors'! Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in. 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days! Aviva-funded Private Medical Benefit to help you get expert support when you need it. Make your money go further with up to 40% discount on Aviva products, and other retailer discounts. Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme. Brilliantly supportive policies including parental and carer's leave. Flexible benefits to suit you, including sustainability options such as cycle to work. Make a difference, be part of our and use your 3 annual volunteering days to help others. Aviva is for everyone: We're inclusive andMost of our people are smart working - spending at least 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues. To find out more about working at Aviva, take a look .We'd love it if you could submit your application online but if you require an alternative method of applying, please email us at .

About Abound

We’re redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer’s unique financial situation.

And we’ve shown it works at scale. We’ve issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch.

Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we’re recognised as one of Europe’s fastest-growing fintechs (Sifted, CNBC). Now, we’re expanding into new markets and product lines - and we’re looking for ambitious people who want to learn fast, take ownership, and grow with us.

About the Role

We’re looking for a Lead Python Engineer to lead our New Products & Geographies Engineering team. The team launches and scales new lending propositions that expand Abound’s B2B product offering and geographic reach. We move quickly, exploring ideas through production-ready MVPs and iterating as products mature.

This role combines hands-on engineering, technical leadership, and team management, reporting to the Chief Product Engineer. You will contribute directly to the codebase while helping guide the team’s delivery, supporting engineers with complex problems and maintaining strong engineering practices through code review, testing standards, and pragmatic technical decisions. You’ll mentor engineers and help the team balance speed with long-term maintainability.

You will work closely with product managers, clients, and cross-functional engineering teams to translate product ideas into clear technical plans and deliver the features required to launch new lending products.

We value engineers who take ownership, bring clarity to ambiguous requirements, and enjoy solving complex problems that have real business impact.

At Abound, you’ll be part of a culture that values autonomy, curiosity, and continuous improvement. You’ll work with a modern Python-based stack, gain deep exposure to financial operations in a fast-growing lending business, and have the autonomy to deliver meaningful technical improvements in collaboration with experienced stakeholders.

Our technology stack:

• Python (FastAPI, SQLAlchemy, OpenTelemetry, Procrastinate)
• PostgreSQL
• Liquibase
• Docker
• AWS

Who you are:

• Strong experience building production systems in Python
• Experience leading engineers or technical projects, even without formal management responsibility
• Experience collaborating directly with business stakeholders to gather requirements and translate them into technical solutions
• Strong engineering judgement and the ability to make pragmatic technical trade-offs
• Comfortable working in fast-paced environments where accuracy, reliability, and clear communication are essential
• Proficient in writing well-structured async Python code with type hints and unit tests
• Experience maintaining codebases for business-critical systems
• Strong sense of ownership and a focus on delivery
• Experience working with cloud infrastructure (AWS, GCP, or Azure)
• Experience with lending products or financial services would be a bonus

What you’ll be doing:

• Lead and manage a team of up to five engineers, supporting their growth through regular 1:1s, feedback, and performance management
• Design and build Python services and features that power new lending products and client integrations
• Collaborate with Product Managers and other stakeholders to understand, challenge, and refine requirements
• Translate product ideas into clear technical plans and deliver production-ready systems
• Support engineers through code reviews, pairing, and technical guidance
• Participate in the full software development lifecycle - from design and implementation through testing, deployment, and monitoring
• Help structure the team’s delivery process, including sprint planning, sizing, and retrospectives

Provide second-line support during business hours, troubleshooting and resolving production issues that affect clients

What we offer:

• Everyone owns a piece of the company - equity
• Hybrid with 3 days a week in the office
• 25 days’ holiday a year, plus 8 bank holidays
• 2 paid volunteering days per year
• One month paid sabbatical after 4 years
• Employee loan
• Free gym membership
• Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering