Python Jobs in London

Join a high-impact AI and data science consultancy recognised for delivering exceptional outcomes across National Security, Defence, Space, and government sectors. This is a unique opportunity to work on cutting-edge AI and machine learning projects that make a tangible difference in the UK, supporting critical national security initiatives.

As a Machine Learning Engineer, you will design, develop, and deploy machine learning models that address some of the most complex challenges in national security. You will work in a consultative, hands-on role, collaborating with data scientists, software engineers, product managers, and stakeholders across the full lifecycle, from hypothesis through to production deployment.

Due to the sensitive nature of this work, candidates must be willing to undergo DV (Developed Vetting) security clearance, be sole British nationals, and have not spent more than 29 consecutive days outside the UK in the last 5 years. Please note that this role does not provide visa sponsorship and is not open to applicants on Skilled Worker or Dependent visas.

This role offers the opportunity to deliver real-world impact, working with diverse data types - including text, images, audio, video, and geospatial data - while applying cutting-edge methods in AI, machine learning, and MLOps/LLMOps practices.

You’ll have the opportunity to:

Work alongside leading data scientists, ML engineers, and AI researchers on national security projects
Design, develop, and iterate on machine learning models for traditional ML use cases and GenAI/LLM applications
Explore and implement ML and LLM models on complex, multi-modal datasets
Apply modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment on cloud platforms
Influence technical direction and best practice in ML and AI engineering
Mentor and support junior engineers and graduates
Engage directly with clients to scope, design, and deliver operationally-ready AI and ML solutions

Key Responsibilities:

Design, develop, and deploy machine learning models for forecasting, classification, anomaly detection, and LLM applications
Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly
Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring
Build and optimise ML pipelines using cloud-based platforms and experiment tracking tools
Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails
Support production models through monitoring, performance analysis, and continuous improvement
Apply responsible AI practices, including model explainability, fairness, and ethical considerations
Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value
Mentor junior colleagues and share learnings across the team

Key Requirements:

Willingness to undergo DV (Developed Vetting) security clearance
Sole British national with no more than 29 consecutive days outside the UK in the last 5 years
Proven experience as a Machine Learning Engineer or equivalent role
Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow
Strong experience with cloud-based ML deployment (e.g., AWS SageMaker, Lambda, S3)
Knowledge of MLOps/LLMOps tooling (e.g., MLflow, Weights & Biases, Data Version Control)
Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures
Ability to absorb complex scientific and technical concepts and apply them to operational solutions
Strong communication skills for both technical and non-technical stakeholders
Curiosity, adaptability, and a desire to deliver real-world impact

You will gain exposure to:

Advanced ML and LLM methods applied to national security challenges
Deployment of ML models at scale using cloud platforms and MLOps/LLMOps pipelines
A broad range of data types, including text, images, audio, video, and geospatial data
Ethical, privacy, and security considerations in AI/ML applications
High-impact projects with government and defence clients
Mentorship and development opportunities within a diverse, innovative environment

Why Join:

Work on high-impact projects that directly support national security
Gain deep exposure to cutting-edge ML, LLM, and AI technologies
Accelerate your career in a supportive, high-performance consultancy
Be part of a culture that values innovation, collaboration, and engineering excellence

Interested? Apply Now!

Quantitative Developer (Fixed Income - Risk)- Systematic Quant Fund

Summary:

Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns. This opportunity offers a dynamic and fast-paced environment with excellent prospects for career growth.

Looking for a Quant Developer to join the Risk team, responsible for building and maintaining tools to support trading risk analysis and reporting. Working alongside the very best Fixed Income Risk Managers, Traders & Researchers, you’ll develop robust, scalable & consistent risk infrastructure in response to specific requirements. You’ll also build tools and frameworks to process & analyse large volumes of market and trade data across fixed income products.

This role would suit someone with exceptional communication skills and thrives on working collaboratively, bridging the gap between technical and trading teams.

Requirements

5+ years’ software engineering experience + strong coding (ideally in Python)
Strong understanding of risk measures & sensitivities, and their fixed income trading application
Deep-level knowledge of fixed income products
Proficient capturing trading & risk requirements and translating them into technical solutions
Familiarity with databases, APIs, and microservices architecture

Benefits:

Great opportunity to be part of a collaborative, creative environment where you can feel valued for your input
Competitive salary + generous benefits
Professional and personal development
Relaxed, casual culture, with a healthy work-life balance

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you would like to know more about this position, please do not hesitate to get in touch!

Mike McLoughlin
mike.mcloughlin@oxfordknight.co.uk
https://www.linkedin.com/in/michaelmcloughlin00/

Python Engineer - Crypto- Global Quant Firm

Salary: £200k + bonus

Summary

One of the largest global HFT funds looking for a highly proactive engineer to join their rapidly expanding crypto division as they help shape the future of the industry.

In this role, you will develop a deep understanding of the crypto landscape and underlying data that powers the firm’s crypto trading business. You’ll join the development group building a robust and resilient back office, responsible for inventory management & monitoring, reconciliations, calculations and reporting. You’ll also collaborate with traders and the ops team, assisting with data management, identifying data integrity issues and solving mission-critical problems.

Unique in their field, this firm combines the lively, positive spirit of a start-up with the stability of a longer-established player.

Requirements

Minimum 3+ years’ hands-on development experience
Strong Python skills required (some C++ would be a plus)
Experience with SQL databases (MySQL and Clickhouse) and messaging solutions (e.g. Kafka) is required
Degree in Computer Science or Engineering (or its equivalent) from a top-tier university
Proponent of clean, robust design

Desirable

Back office experience preferable: good understanding of trade positions, P&L, and how these values are computed from raw trade data
Experience with large data volumes processing and distributed systems is a major plus.

NB: Please don’t apply if you’re a fresh graduate

Benefits

Competitive base salary & bonus
Enormous opportunity to grow, learn and have a significant business impact
Contributions are rewarded; career progression supported
Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If this sounds like you, or you’d like to know more, please get in touch.

Andy Stirling-Martin
andy@oxfordknight.co.uk
020 3137 9579
linkedin.com/in/andrew-stirling-martin-7664a946

SRE/Support Engineer- Market-Leading Global Hedge Fund

Summary:

Fantastic opportunity to join an industry-leading global market maker, using innovative and cutting-edge technology. This is an elite team of the smartest, most creative engineers, who partner with different teams across the business to solve their most pressing issues. Forget the stuffy world of finance you thought you knew; developers here are tech-driven and truly world-class.

Looking to expand their current SRE/Support Engineer team, this role offers the opportunity to:

Provide crucial first- and second- level support for applications and processes
Take ownership of incident and problem management frameworks
Collaborate with development and SRE teams to improve tooling & monitoring
Identify & resolve issues as soon as they arise, providing frequent updates to key stakeholders
Provide global coverage for system support and start-of-day/intraday health checks

You’ll be expected to be a self-starter who demonstrates a strong sense of ownership, execution and the ability to work and deliver results with minimal supervision.

Requirements:

Previous commercial experience providing L1/ L2 support
Experience with Linux/Unix OS and K8s
Knowledge of databases, e.g. Sybase, SQL or KDB/Q
Skilled working with Java (JVM, Heap management)
Familiarity with Python and/or Q/KDB a plus
Minimum bachelor’s degree in Engineering, Computer Science (or related field)
Excellent communicator with both technical and non-technical colleagues

Benefits:

Significant salary + bonus + benefits
Build complex software solutions to solve challenging problems in agile environment
Work with some of the smartest minds in the industry from a range of backgrounds

Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.

Contact
If you would like to know more about this position, please do not hesitate to get in touch!

Mike McLoughlin
mike.mcloughlin@oxfordknight.co.uk
https://www.linkedin.com/in/michaelmcloughlin00/

Senior Attack Monitoring Analyst, GSOC - London Stock Exchange Group

London Stock Exchange Group

ROLE PROFILE:

The London Stock Exchange Group seeks an experienced, dedicated and driven Senior Attack Monitoring Analyst to join the Global Security Operations team!

ROLE SUMMARY:

LSEGSecurity Operationsis a central function employingpeople, process and technology to continuously monitor and respond to cyber security incidents.

This role is for a Senior Attack Monitoring Analyst for the Global Security Operations Centre (GSOC). The role is responsible for identifying and responding to cyber security incidents and improving the defensive capabilities of the GSOC.

The ideal candidate will have a solid technical background, with a firm understanding of modern attack techniques coupled with knowledge of the typical lifecycle of an attack.

WORKING HOURS:

This role is available in two locations: London and Singapore.

Working hours will follow standard UK business hours (9:00 AM - 6:00 PM GMT) or Singapore hours (preferably 2:00 PM - 10:00 PM SGT). Singapore working hours are flexible and can be adjusted based on candidate availability.

RESPONSIBILITIES:

• Triage security events and employ a methodical and coherent response to security incidents adopting playbooks where necessary.

• Competently operate a chosen SIEM (e.g., Splunk/QRadar/LogRhythm) for incident investigations, or for the development of monitoring dashboards.

• Utilise playbooks, existing knowledge and accurate online resources for guidance when responding to incidents.

• Utilise online resources for researching and collecting threat intelligence to improve the SOC’s abilities to detect cyber-attacks.

• Develop new, or improve existing run books and use cases based on investigations and knowledge of modern attacks.

• Stay up to date with current vulnerabilities, attacks, and countermeasures.

• Identify, respond and remediate cyber events generated through monitoring technologies.

EXPERIENCE:

• Preferred experience with operating or administrating a SIEM (e.g., Splunk/QRadar/LogRhythm).

• Solid understanding of networks including the TCP/IP stack, typical organisation architectures, and common protocols abused by malware.

• Experience in security event analysis & triage, incident handling and root-cause identification.

• Understanding of tools, techniques and procedures that attackers use to compromise organisations, ideally from direct experience.

• Knowledge of cyber security either academically or within corporate environments.

• Ability to work in a fast-paced and demanding environment while remaining calm.

• Strong verbal and written communication and collaboration skills.

• Security industry specific and core technical accreditations such as OSCP, GIAC, CCNA.

• Certification demonstrating SIEM operational competences.

• Proficient with one or more programming languages (e.g., Python, PowerShell, Java, C#).

Career Stage:
Senior Associate

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

Linux Administrator - eFinancialCareers

Linux Administrator | Systematic Hedge Fund

A high-performance systematic hedge fund are seeking an Infrastructure Operations Engineer (Linux Admin) to help maintain and evolve the global Linux estate that underpins all trading and research activity. This team is responsible for ensuring the firm’s large-scale compute environment remains stable, well-maintained, and ready to support continuous growth across quant, trading, and data engineering functions.

You’ll work across server deployments, Linux administration, hardware lifecycle, automation, and platform improvements - collaborating closely with engineering, EUC, and application teams. This is a hands-on role suited to someone who enjoys Linux admin and automation work within a highly technical environment.

Role Overview

Ensure the health, stability, and performance of the firm’s global Linux platform across trading and research workloads.
Deploy new Linux servers and manage full end-to-end build processes from hardware provisioning through OS installation.
Carry out system upgrades, patching, and platform maintenance across Red Hat-based environments.
Contribute to automation, monitoring, and deployment initiatives using modern tooling.
Work closely with EUC, application, and engineering teams on both project delivery and operational support.
Produce and maintain clear documentation to support consistency and repeatability across the estate.
Participate in an on-call rotation as part of a global operational team.

Requirements

Strong hands-on Linux administration experience (Red Hat, CentOS, or similar).
Full server build capability - from hardware provisioning to OS installation and configuration.
Understanding of AMD/Intel server hardware and common failure types.
Solid networking fundamentals (TCP/UDP, LAN/WAN concepts).
Experience with automation tooling, ideally Ansible.
Scripting familiarity (Bash or Python) for automation and troubleshooting.
Bonus: Experience with storage technologies such as NFS or SAN environments.

Company Highlights

Technology-led culture – drives both trading and internal engineering investment
c.1,000 employees – large enough for scale, small enough for meaningful individual impact
Brand-new London HQ – core engineering and trading hub with free on-site gym
Flat structure – direct access to senior engineers and C-level leadership
Excellent Glassdoor ratings consistently quoting a strong work-life balance
Benefits: Free breakfast & lunch, 13% pension, year-one guaranteed bonus, and more

Trade Operations and Systems Engineer - CBCX GROUP LTD

Trade Operations and Systems Engineer （Chinese language skill is desired） We are seeking a highly skilled Trade Operations and Systems Engineer to oversee and optimise our day-to-day CFD trading operations, with a particular focus on trade execution monitoring, system automation, and the development engineer for trading P&L, open positions, and trade reconciliation. This role sits at the intersection of trading technology and operational risk management and requires a candidate with both deep technical capabilities and strong domain knowledge in FX and CFD trading. The successful candidate will be responsible for ensuring seamless and accurate trade execution, settlement, and reconciliation. The position requires hands-on experience with CFD trading platforms (such as MT4/MT5, PXM/OZ, XCore, Integal), database management, and FIX protocol integration, as well as the ability to streamline operational workflows through coding and automation. Candidates should be well-versed in supporting front-office trading teams and aligning back-office processes with regulatory standards and data accuracy requirements. Some responsibilities in this role involve communicating with clients and partners who primarily use Chinese, Chinese language proficiency (spoken and written) is highly desired. Key Responsibilities Trade Operations & System Development Monitor and manage CFD/FX trade executions, including real-time monitoring of trade flow and open positions across platforms. Maintain and improve systems for automated calculation of profit and loss (P&L), margin usage, and open positions using C++, Python, SQL, and related technologies. Develop robust automated workflows for trade settlement, transaction reconciliation, and risk exposure tracking. Ensure high system availability, stability, and performance for trading applications. Troubleshoot and optimise operational workflows across front, middle, and back-office environments. Trading Infrastructure & Protocol Management Integrate and manage trade bridge connections and APIs for trading execution and post-trade operations. Resolve issues related to trade discrepancies, latency, or order mismatches in FIX messaging. Assist in onboarding new liquidity providers and counterparties via FIX protocol and bridging platforms. Data Management, Reporting & Reconciliation Maintain and optimise relational databases to store large volumes of trade data for analysis and reporting. Implement ETL (Extract, Transform, Load) pipelines to ensure data accuracy between internal systems and third-party platforms. Create and manage interactive dashboards and performance reports using Power BI or Tableau. Conduct daily reconciliation between front office systems, back office, custodians, and liquidity providers. Compliance, Documentation & Operational Risk Ensure compliance with internal policies, industry regulations, and data protection laws (e.g., GDPR). Maintain detailed technical documentation covering system architecture, workflows, and exception handling procedures. Proactively identify and resolve operational risk incidents or anomalies in trading processes. Required Qualifications and Experience 2–5 years of experience in CFD/FX operations, trading systems engineering within the brokerage or banking industry. Solid understanding of CFD and FX trading instruments, market structure, and execution workflows. Hands-on experience with trading platforms including MT4/MT5, PXM/OZ, XCore, Integral, GUI, and other comparable systems, with proven capability in system integration and technical troubleshooting. Experience in trade lifecycle management, reconciliation, and exception resolution between front, middle, and back-office systems. Technical Skills Proficient in Python, SQL, C++, C#, and Java for developing automation tools, system integrations, and data transformation scripts. Strong database design and optimisation experience (SQL/NoSQL). Competence in building ETL pipelines, custom APIs, and data warehousing solutions. Skilled in Power BI or Tableau for real-time operational and financial reporting. Familiarity with bridging and aggregation platforms such as OneZero, Integral, and XCore GUI. Experience with distributed systems and high-volume data processing environments. Soft Skills Strong interpersonal and communication skills with the ability to collaborate cross-functionally with trading, compliance, risk, and IT teams. Ability to explain complex technical solutions to non-technical stakeholders. Resilient and calm under pressure in high-volume trading environments. Highly organised, with a proactive and analytical approach to problem-solving. Preferred Qualifications Bachelor's or Master’s degree in Computer Science, Financial Engineering, Quantitative Finance, Mathematics or a related discipline. Professional background in FX brokerage, liquidity management, or electronic trading. Fluency in Mandarin in desired. Performance-based bonus scheme with clear KPIs. Exposure to cutting-edge trading technologies and innovation in fintech. Opportunities for career development and training in advanced financial systems. Collaborative and agile working culture. Employment Type Full-Time, Permanent Work schedule: Monday to Friday Application Questions Do you hold a degree in Computer Science, Financial Engineering, or a related field? Do you have experience in FX operations, database development, or system engineering Are you fluent in Mandarin?

Director, Innovation Lab & AI Engineering - Citi

Discover your future at Citi
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview
Citi Innovation Labs is a global network of innovation centers focused on delivering cutting edge solutions to all of Citi’s lines of business.

Our Mission is to create a competitive advantage for our clients, manifested as change in the way they operate, by providing innovative technological solutions with strong client engagement, from idea to production, and by leveraging the entrepreneurial spirit and technological excellence fostered in the Innovation Labs.

Our Labs Network is a global organization that spans across New York, London, Tel Aviv. We focus on delivering innovative products using cutting-edge technologies in highly complex architectures and with the highest delivery standards. The Innovation Labs team perform research and implementation in many advanced domains spanning across AI, Machine learning, NLP, Analytics, Blockchain/Distributed Ledger Technology and many more.

The Role:
We’re on the hunt for a highly skilled and experienced senior Engineering manager to lead the delivery of Generative AI solutions at the Citi Innovation Lab. The ideal candidate has excellent track record in high scale engineering products and specifically AI solutions. In this role, you’ll be a key player in driving innovative projects throughout the bank using generative AI and Large Language Models.

Responsibilities:

Lead an engineering unit responsible for a broad range of AI tools and technologies
Lead research and development activities globally with the goal of finding innovative solutions with substantial impact potential for the business units across Citi
Manage executive stakeholder audience in technology by acting as a partner, trusted advisor and operating through influence
Work with internal and external partners to design, validate and deliver solutions with a commercial benefit for Citi
Manage multiple concurrent initiatives and projects of varying sizes & complexity
Engage with technical and business stakeholders to define and design overall architecture for key use-cases
Work with external vendors and start-ups around joint initiatives and around exploration of new directions. Manage partner and vendor relationships where required
Partner with Citi’s AI Centre of Excellence to ensure best practice is followed from the perspectives of good governance, risk management, standardization, and tooling.

Qualifications:

Academic degree in Computer Sciences or equivalent. MSc or MBA - preferred
At least 15 years of experience in the software industry
At least 3 years of proven experience in leading an engineering organization (15+ employees)
5 years+ experience in Machine Learning, delivering complex solutions to production.
Great passion and proven hands-on experience with AI technologies
Strong and diverse technical background. Ability to quickly learn and understand new technologies, influence highly skilled engineering teams and overall have a personal impact on technology decisions and vision.
Vast experience with cloud architectures, and specific experience with public cloud offerings
In-depth knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar.
Proficiency in programming languages such as Python.
Excellent communication skills
Leadership and organizational abilities
Excellent analytical and problem-solving skills
Strategic thinker
Experience in the financial industry - major advantage
Background in Securities Services / Custody - major advantage

What we’ll provide you
This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.
By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends

Visit ourGlobal Benefitspage to learn more.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Applications Development ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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.

Senior Production Engineering Manager - Citi

Job Overview
Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech .

As an Engineering Manager you will improve the productivity of engineers, create effective reporting mechanisms, and ensure timely and budget-conscious completion of work within the Site Reliability Engineering (SRE) team. You will play a crucial role in driving operational excellence, fostering collaboration, and enabling efficient project management. This position requires a combination of technical expertise, leadership abilities, and exceptional organisational skills.

Skills:

Technical Proficiency: Possess a strong understanding of SRE principles, DevOps practices, and relevant technologies to effectively guide and support engineering teams.
Project Management: Ability to manage multiple projects simultaneously, set priorities, allocate resources, and ensure timely completion within budget constraints.
Analytical Thinking: Demonstrate a data-driven approach to problem-solving and decision-making, utilising metrics, and performance indicators to assess team efficiency and identify improvement opportunities.
Leadership: Exhibit strong leadership qualities, fostering a positive and collaborative work environment, providing guidance and mentorship to team members, and promoting a culture of continuous learning.
Communication: Excellent verbal and written communication skills, enabling effective collaboration with cross-functional teams, stakeholders, and management.
Stakeholder Management: Ability to understand and address the needs of various stakeholders, including engineers, product managers, and business partners.
Process Improvement: Proven experience in streamlining workflows, identifying bottlenecks, and implementing process enhancements to optimise efficiency and productivity.
Budget Management: Familiarity with budgeting and cost control practices, ensuring projects are delivered within financial constraints while maintaining quality standards.
Quality Assurance: Knowledge of quality assurance principles and best practices to ensure deliverables meet defined standards and specifications.
Adaptability: Ability to thrive in a dynamic and fast-paced environment, quickly adapting to changing priorities and business needs.

Responsibilities:

Be both highly technical and an effective people manager
Lead multiple teams that deliver on multiple projects of increasing dependencies in an ambiguous and high-impact area
Collaborate with various functions, drive engineering initiatives, and have an impact at an organisational level
Measure the impact of your team and set clear expectations and goals
Partner with leadership to influence and drive org design, contribution, and prioritization
Lead a team of engineers and product managers in the ideation and technical development of innovative projects to streamline and automate critical business challenges
Provide strategic and operational oversight for software initiatives in Production Management
Work closely with business aligned SRE leads to develop short and long-term strategies
Manage stakeholder expectations, resolve conflicts, and keep everyone involved aligned
Develop and drive execution on 6 month and 1 year road maps
Drive innovation, establish new approaches in improving productivity
Establish a metrics-based organization, develop key operational metrics and push for continuous improvement
Ensure system security, data integrity and compliance for regulatory requirements

Qualifications:

Bachelor’s degree (computer science or related fields) or equivalent experience in building scalable solutions to improve the service reliability and/or increase productivity and efficiency
Experience with object-oriented or scripting programming languages such as Java or Python to build DevOps/SRE solutions
Experience with agile systems development methodologies
Relevant experience managing engineering teams
Organisational and analytical skills

What we’ll provide you:

By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Applications Support ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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.

Infrastructure Architect - Low Latency Engineering (Rates eTrading Tech) - Citi

About the Position:
We are looking for an industry wide Senior Systems Architect (Infrastructure) who can provide leadership and direction for Change-The-Bank (CTB) electronic trading infrastructure initiatives covering all technologies (in this specific domain) for Rates.
The role sits within Citi’s Global Markets: High Performance Architectures - Infrastructure (HPAi) group. This team is responsible for all electronic trading infrastructure architecture across all markets globally for the firm. It is composed of low latency Subject Matter Experts (North America, EMEA), Systems Architects (both regional and asset class aligned) and an aligned initiative management function (e.g. Technical Project Manager). Technology is key to our business; this role will require you to drive innovation and technology adoption in a large multi-faceted and complex environment. This Markets-Tech “business aligned tech” resource will collaborate with ICG-Markets “the business”, CTI “Enterprise Infrastructure”, and CISO “Security” teams driving technical architecture and engineering of CTB and End of Vendor Support (EoVS) initiatives where we choose to innovate.

What you will do (but not limited to)
Reporting to the head of HPAi, the Systems Architect will be responsible for ensuring best in breed technology architecture and engineering are in alignment with business requirements. This will be done in collaboration with CISO and other teams and resource aligned to HPAi who represent Enterprise and CISO priorities and standards.
Active collaboration with all parties is required to be successful. The resource should be able to effectively collaborate with the Markets-Tech Electronic Trading organization (our clients), steer other technology organizations directly or through influence, and love rolling up their sleeves and working as an individual contributor.
The resource will leverage the full strength of the supporting non-ICG technology organizations (dedicated and non-dedicated to HPAi).
The role is very broad requiring a resource that is not afraid to do new things and be challenged on a regular basis with a can-do attitude and an engineering mindset.
You will show a deep desire to drive results and an unquenchable desire to understand how technology primitives work (and how to abuse them).
Low Latency Trading - Rates and Cross Markets, domain specific technology is required (solid knowledge for as many of the following as possible):

The Technologies:

Compute (Linux, CoreOS, Tuning, kernel bypass technologies, core dump analysis)
Network (R&S, cut-through, Multicast, SDN, BGP, L1-L3, PCAP analysis)
HPC File Systems (Lustre, GPFS, Weka, DDN, Ceph)
Interconnects (InfiniBand, Slingshot, PCIe, NVLink, UALink, UPI, RoCE)
HW (Server, FPGA, GPU, Memory, Cache, over clocking, cooling, ASIC, Quantum, NUMA)
DevOps (OpenShift, Kubernetes, DevOps, Prog[Python, Perl, Shell], CI/CD)
Programming (C, C++, Java, Rust, VHDL, Verilog)
Time Sync (PTP, NTP, GPS, White Rabbit, SyncE)
Wave (RF, Millimeter, Microwave, DWDM, Photonics)
Storage (I/O, NAS, SAN, Object Store, SDS)
Database (relational, columnar, graph, NoSQL, architecture, tuning)
Monitoring (SPANs, TAPS, OEO, Packet Brokers, Corvil, SNMP, FIX, Logs, ELK, Open Telemetry, Grafana, Promethius)
Messaging (TibRV, Solace, Aeron, ZeroMQ, Kafka, Multicast, Market data (TCP/UDP), Tibco, Exegy/Vela)
Load Balancers (HW, SW)
Security (Firewalls, PKI, TLS, IDS, Optical Encryption, AD, LDAP)
Connectivity (WAN, Lucera, cross-connects, ECX, venue, client)
Colo / Datacenter (Power, Space, Cage, Rack, Cabinet, Design)
Excel (for advanced frameworks, data analysis)

Required:

Deep knowledge of operating system fundamentals - hyper focus on Linux (REL, CoreOS)
Understanding of OSI model and TCP and UDP network protocols
Experience with Python and data libraries
Fluency with the Unix command line and shell scripting
Practical experience with modern Linux systems and systems programming concepts like C, IPC mechanisms, virtual memory, and process life cycle
Strong troubleshooting skills and knowledge of profiling/debugging tools such as gdb, perf, DTrace, SystemTap
Can understand, interpret, and improve application performance via system tuning
Thorough understanding of modern computer architecture - modern x86 AMD and Intel cache hierarchies as an example.
Kernel-bypass technology knowledge (such as Solarflare OpenOnload / TCPDirect / ef_vi, RoCE, DPDK)
Prior experience in a similar Site Reliability Engineering (SRE), DevOps, distributed computing, systems engineering/administration
Ability to context switch to work on several projects at once
Knowledge of JIRA, SCRUM, Sprints
Low Latency Trading - Rates and Cross Markets, domain specific technology is would be highly beneficial

The Details:

Ingress/plan/execute/manage technical initiatives to make our electronic trading systems faster, more adaptable stable and maintainable aligned to HPAi standards.
Communicate ideas, requirements, and results across disparate teams.
This position will support technical populations (Rates), partnering with leaders to understand their challenges and design and execute solutions to solve them.
Communicating business and IT requirements to external vendors and internal technical teams
To succeed in this role, you must enjoy working independently and collaborating, being a hands-on contributor, learning on the fly and embrace change - rapid pace.
You must be able to understand full-stack electronic trading technologies and engage effectively in a very technical manner with other SMEs, systems architects, the business (at times), Markets-Tech, and enterprise infrastructure organizations (CTI/CISO).

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

What we’ll provide you
By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Visit our About Us | Culture, Values & Benefits page to learn more.

Education:
Degree Educated ideally in a Comp science or engineering field or experience operating in a similar role.

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.

Senior Software Engineer - Build AI Tools (Python, GoLang) - Citi

Job Overview
Citi, the world leading global bank, has approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Citi enables clients to achieve their strategic financial objectives by providing them with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity.

The Team:
Cloud Technology Services (CTS) is responsible for looking after Citi’s Cloud programme across Public and Private Cloud. It has several new and exciting programmes utilising cutting edge cloud and container technologies, with a view to ensuring that our offerings are best in class and enable our wider business lines and clients alike.

The job:
This role sits within the newly formed GenAI Security team, which is responsible for ensuring, maintaining, and improving the security of our GenAi Prompt security capabilities within the firm. You will be responsible for engineering solutions that strengthen and broaden our security capabilities in an environment that is changing daily whilst also working with vendor products to achieve the same aims. You will have the opportunity to partner with key Engineering teams, alongside Operations and Site Reliability Engineering.
Effective capabilities that combine security and engineering excellence are key to success.

What the role covers:

Designing, developing, optimizing, and enhancing a GenAI prompt security platform to protect firm AI/LLM-based applications from adversarial attacks and prompt injections.
Building and automating a security testing framework to validate protection mechanisms for various LLM use cases.
Owning solutions that are expected to operate and perform at scale across the organisation.
Collaboration with multiple stakeholders and partners across Engineering and Operations as well as partner teams within the wider Citi organisation, across different time zones.

Job Skills/ Qualifications:

Highly motivated self-starter with excellent interpersonal and problem-solving skills
Bachelor’s degree or equivalent work experience
Good oral and written communication skills
Significant relevant industry work experience
Experience of the full lifecycle of design, implementation and running of enterprise software solutions involving cross functional team collaboration
Expertise in a major programming language such as Python and/or Go, and associated tooling (Git, Maven, IDEs, Jenkins, Bitbucket etc)
Expertise in designing and implementing secure APIs and libraries.
Experience in Generative AI, LLM frameworks, LLM prompt engineering and/or adversarial testing is a bonus.
Experience with Cyber engineering and Operations, which could include DevSecOps or MLSecOps.
Experience contributing to the architecture and design (architecture, design patterns, reliability, scaling) of new and current systems
Experience in containerized deployment (Kubernetes, OpenShift etc).
Expertise with DevOps, CI/CD and agile methodology

What we can offer you:

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Systems & Engineering ------------------------------------------------------
Time Type:

Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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.

Public Cloud - Forward Deployed Engineer (VP) - Citi

Job Overview
About the Opportunity
Are you a seasoned technologist with a passion for building cutting-edge enterprise products and a hands-on approach to engineering? Join Citi’s Cloud Technology Services (CTS) team and be part of our commitment to transform Citi’s technology by leveraging game-changing cloud capabilities to drive agility, efficiency, and innovation.
We’re providing our businesses with a competitive edge by leveraging the scale of the public cloud and enabling new infrastructure economics. As the Forward Deployed Engineer, you will play a pivotal role in shaping and executing our public cloud strategy.
You will be part of a team that continues to deliver big! From building a cloud-based High-Performance Compute (HPC) platform to run huge risk calculations, enabling Citi to leverage GenAI at scale, all the way to enabling payments solutions, this team is at the forefront of innovation.

What You’ll Do:

Technical Expertise: Provide hands-on technical contribution within a product team that focuses on public cloud container fleet management services, supporting Citi’s secure and enterprise-scale adoption of the public cloud.
Collaborative Development: Contribute to a team of cloud engineers and full-stack software developers, building and deploying solutions that advance the public cloud strategy.
Automation: Identify and develop automation initiatives to improve processes related to public cloud service consumption, enhancing client satisfaction and delivering business value.
Cross-Functional Partnership: Collaborate with teams across Citi’s technology landscape to ensure alignment between public cloud initiatives and broader business goals.
Engineering Excellence: Contribute to defining and measuring success criteria for service availability and reliability within the specific product domain.

Who You Are:

You are a talented developer with a proven track record of hands-on enterprise grade application development, expertise in public cloud, and a passion for engineering best practices. You have:

Development Expertise: Experienced in full-stack software development with a focus on AWS and GCP. Demonstrates hands-on software development and engineering expertise. Key areas of proficiency include:
- Programming Languages: Python, Java and Go.
- AI/ML: prompt engineering, LLMs, RAG, Semantic Search, Vector Databases, etc
- Behaviour-Driven Development (BDD) Testing: Cucumber, JBehave, Pytest-BDD, etc.
- CI/CD pipelines: Harness, Tekton, Jenkins, etc.
- Knowledge on middleware & distributed messaging (Kafka)
- Databases (MongoDB and SQL)
- Familiarity with Domain Driven Design and Event Driven Architecture
Agile and DevOps Mindset: Familiarity with Agile Development, DevOps, and SRE practices.
Adaptability: A demonstrated ability to quickly learn new technologies and adapt to changing project requirements.
Strategic Thinking: Experience evaluating complex requirements and rationalizing them into a consistent service offering.
Excellent Communication: The ability to effectively communicate technical concepts to both technical and non-technical audiences.
Exceptional Teamwork and Collaboration: A proven ability to contribute effectively within a cross-functional team environment.

What we can offer you:
By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

27 days annual leave (plus bank holidays)
A discretional annual performance related bonus
Private Medical Care & Life Insurance
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Job Family Group:
Technology ------------------------------------------------------
Job Family:
Systems & Engineering ------------------------------------------------------
Time Type:
Full time ------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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.

Data Scientist, Macro Fixed Income Hedge Fund, London [Onsite] - eFinancialCareers

Data Scientist, Macro Fixed Income Hedge Fund, London [Onsite]

We are working with a macro fixed income hedge fund that are looking to hire a data scientist to undertake a range of activities as part of their nimble economic research team in London. You will focus on analysing complex alternative data and turning this into actionable insight that uncovers trends and informs decision-making. In this role, you will work with a wide range of stakeholders including those in the front office, such as PMs, quants and economists. Alongside the outlined tasks, you will, in short, also be supporting the economists in producing thematic research and strategic insights and constructing a range of tools, dashboards, internal visualisations and pipelines.

The fund is a high performing group that enjoys a strong track record and low staff turnover. The fund takes a collaborative, research/analysis driven approach across the investment process. There will be a large degree of autonomy in how you explore, extract, and interpret data. You will own the full analytical and modelling lifecycle. Therefore, this is a good opportunity for a self-starting, highly numerate individual keen to move into a highly collaborative hedge fund. The role will be part of one of the very best macro fixed income teams on the street in a role with significant involvement in building out the spine of the business from the ground up.

Requirements:

1-3 years’ experience within data science working with large, complex datasets and data analysis tools
Solid grounding in statistics, econometrics or applied mathematics.
Minimum of a master’s degree in a mathematical, statistical, or other highly relevant field.
Strong programming skills in the Python Scientific Stack.
Proactive, pragmatic, and can-do attitude.
Operating within a small, highly dynamic team (preferable)

Due to demand, we are advertising this role anonymously. If you would prefer to speak to someone before submitting a CV, please send a blank application to the role and someone will be in touch to discuss.

We can only respond to highly qualified candidates.

Principal AI Engineer

About the Role

We’re seeking a Principal AI Engineer to lead the design and implementation of advanced AI solutions across our product and business ecosystem.

This is a unique opportunity to define and deliver an organisation-wide AI strategy — combining hands-on technical work with cross-functional influence to drive real impact.

You’ll work closely with senior technology and business leaders to shape how AI is embedded across products, operations, and internal processes. The role offers autonomy, scope, and visibility — ideal for someone who thrives at the intersection of deep technical expertise and strategic thinking.

What You’ll Do

Design, build, and deploy AI-powered systems and features that enhance product functionality and user experience.
Develop and integrate agentic frameworks, RAG pipelines, and vector database architectures to support natural language and intelligent automation use cases.
Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications.
Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration.
Partner with commercial and operational teams to identify and automate processes that can be enhanced through AI tools.
Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures.

About You

Deep expertise in Python, machine learning, and data science.
Experience building, deploying, and scaling AI models in Azure and/or AWS environments.
Skilled in using LangChain, LangGraph, vector databases, and prompt engineering.
Understanding of LLM optimisation, including context extension and RAG-based frameworks.
Proven ability to collaborate cross-functionally and communicate complex AI concepts to non-technical teams.
A proactive, creative mindset — comfortable operating with autonomy to build scalable, production-grade AI systems.

Preferred qualifications:

Advanced degree (MSc/PhD) in Computer Science, Data Science, or a related STEM field.
Experience with Azure Foundry, AWS SageMaker, or other model-serving tools.
Prior exposure to SaaS, enterprise, or data-rich product environments.

Why This Role

Play a central role in defining and executing an organisation-wide AI roadmap.
Work directly with senior leadership on strategy and implementation.
Shape the next generation of intelligent, data-driven products.
Hybrid working environment with flexibility for deep technical focus and collaboration.
Competitive compensation and the opportunity to build at scale in a high-growth environment.

If you’re passionate about building intelligent systems that create measurable impact — this is your opportunity to lead from the front.

Python linux Development/Support (C++ SQL) - Trading ETF Market Making Investment Bank

Python linux Development/Support (C++ SQL) - Trading ETF Marker Making Investment Bank The role consists of supporting, maintaining and developing the trading environment used by the desk. In close relationship with traders, the IT strategist will have to use a broad range of technical skills to support day to day production, maintain and enhance the current python core architecture (in house libraries, scheduler and caching system) but also to develop and implement efficient monitoring and analysis tools. Role Details Support (~30%) - Assist traders with L1/L2 support - Ensure trading systems are up and running at all times - Develop tools that help ensure systems are reliable and efficient - Rationalize and enhance the platform reliability - Support the new pricing setup + the low latency platform Development (~70%) - Maintain and enhance existing support, monitoring and analysis tools - Work with traders/research on the requirements of new features/applications - Work on new projects to enhance the business (cover algo, ETF pricer setup) Requirements - Strong knowledge of Linux (including development/debugging, scripting, and networking) - Strong knowledge and experience of core Python development - Knowledge of C++ code (at least as a reader) - Knowledge of SQL (Oracle) Desired Skills - Experience in working under pressure of a production environment - Troubleshooting / Analytical skills - Problem solving skills Rate £500 - £700 per day Inside IR35 ; Partly Remote Adlam Consulting operates as an Employment Agency & an Employment Business Applicants must be eligible to work in the specified location

Equity Derivatives Quant Developer - HSBC

Role Title: Equity Derivatives Quant Developer Duration: 6 month contract Location: London, Hybrid Rate: up to £950 p/d Umbrellainside IR35 Role purpose / summary 1. 3-7 years working as a Quantitative Developer and collaborating with quant modelers, IT development, other risk departments 2. A degree in mathematical finance, science or maths from a top tier university 3. Knowledge of the standard pricing models used in the investment banking industry 4. Five or more years Python experience required 5. Knowledge of distributed computing and serialisation techniques 6. Test-drive development and automated CI/CD pipelines 7. Knowledge of C++ or RUST Desirable Knowledge, Skills & Experience 1. Knowledge of instrument pricing, sensitivity calculations, VaR, ES and other risk measures. 2. Knowledge of the main instruments used in Equities and Equity Derivatives 3. Good knowledge of Excel 4. Experience of data analysis 5. Ability to work in fast-paced environment with proven ability to handle multiple outputs at one time All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

Staff Operations Engineer - Credit Karma - Intuit

{“description”: "Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members in the U.S., Canada, and U.K. While we’re best known for pioneering free credit scores, our members turn to us for tips as they work on their financial goals, including identity monitoring, searching for credit cards, and growing their savings. Our London-based Platform Engineering team is responsible for the foundation that ensures the availability and reliability of our entire stack. As a Staff Operations Engineer in the U.K., you will lead our continued scaling efforts, acting as a generalist who can navigate complex infrastructure while specifically ensuring our persistent data tier is performant and resilient.

Responsibilities

Build and Automate: Utilize software to achieve a highly available, scalable, and reliable storage and infrastructure platform using Python or Go.
Orchestrate Infrastructure: Work within a large distributed system based on Kubernetes, Terraform, and Google Cloud Platform.
Database Management: Manage Cloud SQL MySQL databases, implementing distributed architectures and preventing data loss through replication technologies.
Collaborate and Consult: Work closely with product developers to translate application requirements into infrastructure capabilities and observability patterns.
Drive Reliability: Participate in technical design, troubleshooting, and incident response to reduce business impact and improve MTTR.

Qualifications

Have Significant Experience: You have 5+ years of experience in SRE, DevOps, or relevant platform engineering roles
Have cloud Expertise: Professional experience with Infrastructure-as-Code (Terraform) and public cloud providers like GCP
Have container Mastery: Experience with container orchestration systems like Kubernetes
Can Scale Systems: You have experience working in production environments at scale and architecting infrastructure for modern web applications
Have Monitoring Proficiency: Working knowledge of a modern monitoring stack, such as Prometheus, Grafana, Splunk, or New Relic
Are a Clear Communicator: You can clearly articulate technical details and communicate vertically and horizontally within an organization
Are Automation-Centric: You are passionate about solving operational challenges by using software and reducing manual toil through writing Python/Bash scripts

Strong candidates might:

Understand MySQL Internals: You have a solid understanding of database system internals (such as InnoDB) and their impact on query performance
Have Polyglot Interests: Familiarity with additional programming languages like Scala or TypeScript

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.", “salary_raw”: “Row(double=None, string=None)”}

Senior Java Developer - PIMCO

We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals.

We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve real problems while building the future of finance.

You

Are excited to be part of a vibrant engineering community that values diversity, hard work, and continuous learning.
Love solving complex real-world business problems.
Recognize that cross-functional collaboration is a core component of success for the team.
Believe there are multiple ways to solve most technical problems and are willing to debate the trade-offs.
Have become a stronger engineer by making mistakes and learning from them.
Are a doer, someone who wants to grow their career and gain experience across technologies and business functions.

Continuously invest in a high-performance and inclusive culture, in which a diversity of backgrounds, experiences and viewpoints are celebrated and valued.
Encourage career mobility, so you can benefit from learning different functions and technologies, and we gain the benefits of your experience across teams.
Run technology pro bono programs that help the non-profit community and give our engineering community opportunities to volunteer and participate.
Offer education reimbursements and ongoing training in technology, communication, and diversity & inclusion.
Embrace knowledge sharing through lunch-and-learns, demos, and technical forums.
Consider our people to be our greatest asset-we will help you learn what PIMCO Technology has to offer so you can participate in activities that benefit your career while delivering impactful technology solutions.

Project Overview

Our middle office transformation initiative will completely transform our business workflows by delivering efficiency across processes, providing our investment teams with more accurate and timely access to positions, P&L, and performance. In this role, you will:

Responsibilities:

Platform Development and Management

Build and maintain supporting components, including data infrastructure and reporting tools within the middle office ecosystem.
Ensure high performance and scalability through best practices in software architecture and rigorous testing protocols.
Provide Level 3 support for middle office applications.

Collaboration & Stakeholder Engagement

Work closely with Portfolio Managers & Operations to gather requirements and provide technical solutions.
Translate various financial asks into tangible, production-quality software.

Code Quality & Best Practices

Uphold industry best practices in coding, design patterns, and application development.
Mentor junior team members and perform code reviews to maintain high-quality standards.

Requirements:

BS/MS/PhD in Computer Science, Mathematics, or a related technical field.
4+ years of hands-on software development experience in Java and Python
Experience in developing cloud-ready, distributed, large-scale, data-intensive applications
Strong understanding of data structures, algorithms, OOP, and design patterns
Experience with data modelling, relational and NoSQL databases, and RESTful APIs.
Experience with Kafka and other real-time messaging systems
Experience with distributed caching technologies such as Memcached, Ignite, etc.
Proven experience in database development and SQL
Deep financial knowledge of transactions, positions, P&L, or performance management.
Experience working in a fast-paced, dynamic environment
Familiarity with cloud platforms (e.g., AWS) and data warehousing solutions (e.g., Snowflake) is a plus

Equal Employment Opportunity and Affirmative Action Statement

PIMCO recruits and hires qualified candidates without regard to race, national origin, ancestry, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender (including gender identity and expression), age, military or veteran status, disability (physical or mental), any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other basis such as medical condition, or marital status under applicable laws.

Applicants with Disabilities

PIMCO is an Equal Employment Opportunity/Affirmative Action employer. We provide reasonable accommodation for qualified individuals with disabilities, including veterans, in job application procedures. If you have any difficulty using our online system due to a disability and you would like to request an accommodation, you may contact us at 949-720-7744 and leave a message. This is a dedicated line designed exclusively to assist job seekers with disabilities to apply online. Only messages left for this purpose will be considered. A response to your request may take up to two business days.

AI Enablement Specialist - Man Group plc

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at

* As at 31 December 2025

The Team

Man Group has been at the forefront of applying technology and data science to investment management for over three decades. Today, that legacy is driving a firm-wide AI transformation with over 1,500 employees using our AI platform daily, adoption has reached a critical inflection point and momentum continues to build. We’re now hiring an AI specialist to partner with teams across the business, turning that momentum into tangible, measurable outcomes.

This is not a research role. It’s not a pure engineering role. It’s the person who sits at the intersection of business problems and AI capabilities, and makes things happen. You’ll become an expert in how Man Group operates our products, our processes, our systems, our people and use that knowledge to identify where AI creates the most value, then build it, ship it, and help others do the same.

You’ll work across the entire firm: sitting with a Sales team to understand why an RFP takes 5 days, then building a prototype that gets it to 48 hours. Running a workshop with Legal to map their document review process, then designing an AI workflow that halves the time. Helping a Portfolio Manager understand what Claude Code can do for their research process, then pairing with them to build it.

You’ll shape the role, the approach and help drive strategy.

We’re looking for someone who:

Gets energy from solving other people’s problems, not just their own
Is curious about how a business actually works the messy reality, not the org chart
Can context-switch between a deeply technical conversation and a commercial one in the same meeting
Has the confidence to challenge senior stakeholders constructively and the humility to learn from them
Sees AI as a tool for making people more capable

Role Responsibilities

Accelerate education and engagement

Become the person people come to when they want to understand what’s possible with AI at Man
Run workshops, pair-building sessions, and demos that turn sceptics into users and users into builders
Help leaders in each business unit define their highest-value AI projects and build the skills to deliver them
Create reusable patterns, templates, and playbooks that scale your impact beyond 1:1 engagements

Solve real business problems with AI

Embed with business units to understand their processes, pain points, and opportunities at a detailed level
Rapidly prototype AI-powered solutions using Python, LLM APIs (Anthropic Claude, OpenAI), and the MAIA platform (our internal platform)
Build end-to-end: from scoping the problem with stakeholders through to a working tool they can use
Focus on time-to-value: ship early, iterate fast, measure outcomes

Drive process transformation

Map end-to-end business processes (client lifecycle, reporting chains, operational workflows) and identify where AI creates the highest leverage
Design AI-first workflows that don’t just automate the existing process but reimagine it
Work with the strategy team to deliver cross-cutting improvements that benefit multiple business units
Build the business case: define metrics, measure before and after, present outcomes to leadership

Build the AI product knowledge

Become an expert in MAIA’s capabilities: what it can do today, what’s on the roadmap, where the gaps are
Stay current on AI tooling, techniques, and best practices and translate them into practical applications for Man
Bridge between the AI engineering team (who build the platform) and the business (who use it) translating requirements in both directions
Contribute to the platform: build skills, integrations, and workflows that become part of MAIA’s shared capability

Key Competencies

Essential

5–8 years’ experience in roles that combined technical delivery with business problem-solving. Could be: AI/ML engineering with client-facing work, management consulting with a technical edge, product management for AI/data products, or solutions engineering at a technology company.
Python skills. You don’t need to be a systems engineer, but you must be able to build prototypes, work with APIs, process data and help design features.
Hands-on experience with LLMs. You’ve built things with Claude, GPT, or equivalent. You understand prompting, RAG, tool use, agents, and the practical limitations. You know when AI is the right tool and when it isn’t.
Exceptional stakeholder skills. You can sit with a senior portfolio manager, a head of operations, or a sales lead and earn their trust. You listen before you solve. You communicate clearly to technical and non-technical audiences.
Bias for action. You’d rather ship a working prototype in a week than a perfect specification in a month. You’re comfortable operating with ambiguity and making progress without waiting for permission.
Systems thinking. You can look at a business process and see the system: inputs, transformations, outputs, feedback loops, bottlenecks. You think in workflows, not features.

Advantageous

Financial services experience particularly asset management, investment operations, or capital markets
Experience with enterprise AI deployments at scale (not just experiments)
Familiarity with MCP (Model Context Protocol), agent frameworks, or AI workflow orchestration
Experience training or educating others on AI tools and techniques
Understanding of data engineering: pipelines, integrations, data quality, metadata management

Inclusion, Work-Life Balance and Benefits at Man Group
You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at .

You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you’ll receive two annual ‘Mankind’ days of paid leave for community volunteering.

Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Java Developer e-Trading - eFinancialCareers

Job Role: Java Developer e-Trading

Location: London Hybrid

Rate: Flexible

Start Date: ASAP

Your role

We are seeking an experienced candidate to join our eFX Quantitative Developer team within Global Markets
This is a fast paced and collaborative team that are responsible for the development and enhancement of the best-in-class eFX platform
The team sits within the Global Markets Principal Flow Trading stream, and has a business reporting line
You will be operating within a high-performing, fast paced quant development team, whose goals are directly aligned to the success of the business
You will take ownership of initiatives from initial analysis through to design, implementation and delivery
You will proactively suggest and drive through improvements to the platform and our framework
You will be involved in every aspect of algorithmic trading:
Market connectivity
Designing, implementing and back-testing pricing and execution strategiesDesigning and building analytics to assess model and platform performance
Latency analysis and optimisation
Enhancing the proprietary eTrading framework that is used across the department

Your team

A highly technical and innovative quant development team leading automated trading in FX
Part of the Principal Flow Trading Quant Development department, alongside teams aligned to eRates, eCredit, FX Derivatives, Equity Derivatives, and Cash Equities
Focused on maximising automation and performance in order to drive eTrading revenues
Operating in a highly agile manner, releasing to production multiple times per day

Your expertise

Strong business knowledge of electronic trading, ideally eFX
Proven experience in designing and implementing low-latency, high-throughput, event-driven algorithmic trading platforms
Collaboration with quantitative analysts to design and implement algorithmic trading models and controls
Experience of producing model documentation and partnering with governance and second line of defence functions
Advanced Java programming skills including approaches to low-latency Java like lock free data structures and low-garbage programming techniques
Beneficial to have low level experience with messaging libraries and protocols including Aeron, Kafka, EMS, SBE, FIX, ITCH, OUCH
Familiarity with time-series databases (preferably KDB) and Python for building analytics and reports
Full stack development experience is an advantage (preferably React) particularly for building monitoring dashboards and trader-facing tools

This role is advertised Via Hays

Machine Learning Quant Researcher

£150,000-200,000 GBP

Discretionary end of year bonus

Onsite WORKING

Location: Central London, Greater London - United Kingdom Type: Permanent

Machine Learning/Data Science Quantitative Researcher - London/Paris

My client is a quantitative hedge fund with offices globally, focusing on systematic trading. Their Quant Researchers develop and monitor strategies covering all liquid markets, including HFT/arbitrage, statistical arbitrage, CTA, Macro and event-driven models. The firm has a mandate for Quantitative Researchers who are specialised in Machine Learning, Deep Learning, Reinforcement Learning, NLP, or Computer Vision. Successful applicants will apply these techniques to analyse datasets and identify trading opportunities, and develop them into monetizable strategies in collaboration with other researchers, developers, and traders.

The Role:

Researching and applying Machine Learning and other Data Science techniques to analyse datasets and identify alphas.
You will work closely with other researchers, developers and traders on the development and implementation of these strategies, and monitor their performance over time.
Quantitative Researchers collaborate with each other globally. You will share ideas and work on tools for others to use across the firm, expanding the business and building your own skills.

Requirements:

An academic background with degrees covering numerical fields of study, such as Computer Science, Mathematics, and Quantitative Finance, PhD level degrees are preferred but not required.
Experience/knowledge of finance from academic studies, internships or professional experience.
Coding proficiency in at least on language, successful candidates are typically expert users of Python, and proficient with data science libraries.

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Frequently asked questions

London offers a wide variety of Python roles including web development, data science, machine learning engineering, backend development, automation, and DevOps positions.

Many Python jobs in London require experience with popular frameworks such as Django, Flask, or FastAPI, depending on the role. It's best to review the specific job descriptions to understand required skills.

Yes, there are entry-level Python jobs and internships available in London. These roles often look for foundational knowledge of Python and a willingness to learn and grow.

Salaries vary based on experience and role complexity, but typically range from £40,000 to £90,000 annually. Senior or specialized positions can offer higher compensation.

Many companies in London now offer flexible or fully remote working arrangements for Python developers. Job listings usually specify if remote work is an option.

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