Hedge Fund background essential

C++ (Version 11 upwards), Linux, Python (nice to have). Trading systems experience - ideally experience working in the equities space.
Ideally the technical has experience with algo implementation.

Quantitative Developer - Equities Technology

We are in search of a Quantitative Developer to join our team who is passionate about designing, architecting, and implementing low latency C++ systems that are not only robust, resilient, and accurate, but also exceptionally fast. Our team works directly with the firm’s central trading teams. By constructing and maintaining this high-performance infrastructure used by these teams, this developer will enable new trading opportunities across businesses and regions, allowing the best possible execution performance.

Job Duties

• Development of execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.
• Work directly with central trading teams to optimize the firm’s overall execution performance.
• Enhance the platform’s efficiency by utilizing network and systems programming, along with other advanced techniques to reduce latency.
• Create systems, interfaces, and tools for historical market data and trading simulations to boost research productivity and system testability.
• Assist in building and maintaining our automated tests, performance benchmark framework, and other tools
• Collaborate closely with trading teams to gather requirements and develop solutions in a fast-paced environment

Qualifications

• 5+ years of professional experience in a Front Office, financial services environment as a senior contributor
• 10+ years cumulative, professional experience
• Strong background in data structures, algorithms, and object-oriented programming in C++

Permanent role - Central London based - 5 days a week in the office

By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you.

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ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.

Role profile:

Job Description Summary

Working on the existing WMX platform and build outstanding index/benchmark product capabilities and production processes.

Collaborate with the product, research, partnerships, governance and policy, sales strategy, operations, marketing, and other teams to create innovative technical solutions for RBSL.

Work closely with the product delivery team to align delivery priority/timelines with business and client expectations

Coach and train junior software engineers in WMX team to grow into SMEs.

Role Responsibilities & Key Accountabilities:

• Demonstrates significant knowledge of a single or multiple technologies and advises on design, development and implementation
• Advances tools and applications by producing clean and efficient code and reviews others’ code when required
• Promoting an open and inclusive culture, holding responsibility for motivation, retention and performance management, and leads by example
• Demonstrates depth of knowledge and expertise in software development and is regarded as the SME in their domain. Develops knowledge of other domains to understand linkages and dependencies
• Understands the tech strategy and culture, and how this impacts own work as well as adjacent teams
• Develops an understanding of the market and LSEG’s commercial position in it
• Leads the delivery of critical projects, coaching team members to be productive with little direction; delegating and reviewing work when required
• Works with architects to decompose a solution into Epics
• Adapts existing patterns to develop robust solutions
• Leads timely design work and planning for Epics breaking them down to journeys with product owners and quality leads
• Continues to build and develop strong relationships with senior collaborators (internally and externally), representing LSEG appropriately. Promotes collaboration between and within teams and communicates sophisticated information clearly to all audiences
• Continues to develop technology and industry expertise through certifications, professional qualifications and networking events as well as invest in creating development opportunities for the team.

Qualifications & Experience:

• Professional qualification or equivalent
• In-depth knowledge of at least one popular programming language (Java, C++, Python)
• Significant experience in a software development and delivery role
• Interest in and understanding of the digital asset domain including current trends, L1 and L2 protocols, centralized and de-centralized applications and services.
• Knowledge of blockchain protocols including tokenization standards, smart contracts, wallets and private key custody. Hands on experience preferred .
• In-depth knowledge of REST APIs, microservices architecture, and AWS cloud platform, with comprehensive understanding of cloud-based infrastructure
• Familiar with database knowledge, better on Postgres, Oracle.
• Understanding Design Pattern, UML well
• Some experience of Business and Technical Analysis, Quality Assurance, delivery management, and / or Emerging Technology and Governance
• Strong problem-solving skills
• Advocate for and implement automation to streamline operational processes, reduce manual effort, and improve efficiency
• Excellent communication and interpersonal skills to foster effective collaboration across functional teams

Career Stage:
Manager

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.

My client, one of the world’s leading hedge funds, is in search of an experienced Quantitative Developer to join them in a team-lead capacity. This role requires technical and managerial skills with an emphasis on hands-on work. This leader would set technical direction and provide guidance to a small team of Quantitative Developers. The ideal candidate is passionate about designing, architecting, and implementing low-latency C++ systems that are not only robust, resilient, and accurate, but also exceptionally fast. This team works directly with the firm’s central trading teams, and by leading the construction and maintenance of this high-performance infrastructure, this Team Lead will enable new trading opportunities across businesses and regions, ensuring the best possible execution performance.

Job Duties

• Lead, mentor, and manage a team of quantitative developers, fostering a collaborative and high-performance culture.
• Development of execution algorithms, order management systems, strategy containers, connectivity, and messaging systems.
• Work directly with central trading teams to optimize the firm’s overall execution performance.
• Enhance the platform’s efficiency by utilizing network and systems programming, along with other advanced techniques to reduce latency.
• Create systems, interfaces, and tools for historical market data and trading simulations to boost research productivity and system testability.
• Assist in building and maintaining automated tests, performance benchmark framework, and other tools.
• Collaborate closely with trading teams to gather requirements and develop solutions in a fast-paced environment.

Qualifications

• Bachelor’s degree or higher in Computer Science, Engineering, or a related quantitative field.
• 12+ years of cumulative professional experience in software development.
• 7+ years of professional experience in a front-office, financial services environment, with a proven track record as a senior contributor or technical lead.
• Strong background in data structures, algorithms, and object-oriented programming in C++, including:
  • Proficiency with new features of C++17 and C++20
  • Proficiency with multithreading and asynchronous environments
• Strong understanding of low-latency and real-time system design and implementation.
• Strong understanding of Linux system internals and networking.
• Strong financial experience across multiple asset classes, with a focus on real-time low-latency trading systems for equities and futures.
• Familiarity with python for quantitative research and data-oriented processing.
• Familiarity with analysis of execution algorithm performance.

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 more information, please get in touch:

George Hutchinson-Binks
george.hutchinson-binks@oxfordknight.co.uk
(+44) 07885 545220
linkedin.com/in/george-hutchinson-binks-a62a69252

ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers!!

ROLE SUMMARY:

FTSE Russell, a leader in global indexing and analytics, is seeking a skilled and motivated Quantitative Engineer to build robust, scalable and automated applications that support trillions in assets. You will have a combined understanding and background in software engineering, quantitative finance and data analysis to help build the next generation of Index solutions. Your work will be at the intersection of finance and technology, working alongside other analysts and engineers supporting the timely delivery of high-quality software, and fostering a culture of learning, innovation and continuous improvement.

WHAT YOU’LL BE DOING:

As a Quantitative Engineer, you’ll build with purpose - solving real-world problems with measurable impact. You will need to possess an excellent attention to detail and an ability to think laterally to solve business problems alongside an ability to hit the ground running, learn quickly and work against tight deadlines.

• Develop and Engineer: Write clean, efficient, maintainable code to support index calculations, back-testing, performance attribution and analytics frameworks used for internal and external stakeholders. Build tools to streamline Index monitoring, validation and rebalancing as well as ad-hoc requests.
• Work with data: Integrate, process, clean and analyze financial datasets including traded instruments (equity, fixed-income, currencies, commodities and their derivatives), reference and alternative data, and ensure their appropriateness for production grade applications.
• Automate and Scale: Implement RESTful APIs, cloud-native solutions, microservices, and automated CI/CD pipelines for rapid delivery. Design test cases and implement automated test drivers. Analyse production problems, provide troubleshooting and support as and when needed.
• Business Support: Collaborate with Product, Research and Operations teams to provide support and tools for their day-to-day and periodic activities, transition prototype code to our unified Enterprise computational framework and extend the Firm’s analytics and product offering.
• Learn and Grow: Gain in depth exposure to quantitative methods, systematic investment strategies and associated analytics, and the full lifecycle of FTSER’s product offering. Communicate with clarity, precision, and influence, presenting complex information in a clear and concise format that is appropriate for the audience.

WHAT YOU’LL BRING:

• Minimum 2 years experience of quantitative analytics, research and development within financial services with a bank, asset manager, insurance company or related vendor. Strong background and expertise in data and methods applicable within risk management, portfolio construction, systematic investment strategies, cross-asset cash and derivative instruments and conventions are required.
• Graduate with an advanced degree (MSc or PhD) in Mathematics, Computer Science, Financial Engineering, Statistics, Physics or related scientific discipline, with any further professional qualifications being welcome.
• Strong programming skills in Python and SQL. Experience and exposure to data analytics libraries such as numpy, pandas, scipy, cvxpy. Experience with queries and familiarity with stored procedures. Familiarity with code version control tools such as GIT or similar, and ideally experience with APIs implementation
• Strong background in software engineering best practices, standards and principles. Ability to write high performance code, strong understanding of data structures, algorithmic development, code optimization and complex problem-solving skills are required.
• Additional programming skills in C# or Java, experience defining manipulating, and managing configurations and systems based on JSON and XML models. Database skills across standard technologies such as SQL Server, Sybase, Snowflake or PostgreSQL. Cloud development, management and deployment with services such as AWS (EC2, Lambda, Glue, EKS, SQS) or similar.

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.

ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.

ROLE PROFILE:

As a Lead in the Engineering Practices team, you will play a pivotal role in shaping and advancing engineering practices across the organisation. This varied position covers many aspects of engineering, including Cloud, Software Development, DevOps, CICD, Observability and Operations, ensuring our engineering practices are fit-for-purpose and ensuring best practices are adopted throughout our teams.

Key responsibilities of this role will be to drive initiatives around operational practices, including FinOps, Observability, Resilience and Operational Automation. Driving operational cost efficiency initiatives across the Group will be a critical outcome.

Success in this role will be measured by increased operational efficiency, as measured by metrics that you will need to develop and build. You will collaborate with senior leaders, engineers, and cross-functional teams, providing thought leadership and mentoring to support the professional development and growth of our engineering community.

ROLE SUMMARY:

• Develop strategies, then steer and monitor the delivery of key parts of our Engineering Practices, as needed. Key focus area for this role will be Operational practices - including FinOps, Observability, Resilience and Operational Automation.
• Lead the evolution and adoption of engineering practices across the organisation, ensuring methodologies remain up-to-date and effective, particularly in support of AI initiatives.
• Lead initiatives to drive operational cost efficiency across the Group, in areas such as Cloud, Software Licencing, Infrastructure Decommissioning, and Automation.
• Define and build metrics to measure operational efficiency across the Group.
• Collaborate closely with senior leaders, engineers, and cross-functional teams to provide thought leadership, mentorship, and support for professional growth within the engineering community.

WHAT YOU’LL BRING:

• Broad experience of software and cloud engineering in large, complex organizations.
• Deep understanding of modern engineering practices (DevOps, Cloud Infrastructure, CICD, Testing, Observability etc) and IT service management (ITSM) enabled by a modern engineering tooling ecosystem.
• Hands-on experience with coding, and the ability to solve problems using common engineering tools e.g. GitHub/GitLab, Python, Java, Go, PowerBI, SQL, GitHub Copilot etc.
• A passion for driving and delivering operational efficiencies.
• Experience working for a large, complex organisation where decisions and actions are highly federated.
• Solid skills in leading and managing communities of internal stakeholders, fostering collaboration and driving the adoption of strategic standards and ways of working.

WHAT YOU’LL GET IN RETURN:

• An opportunity to shape and drive impactful initiatives within a leading global financial market infrastructure provider.
• Work with the most knowledgeable leaders in LSEG’s engineering and operational domains to solve impactful problems.
• Exposure to cutting-edge Engineering practices, such as Agentic AI development, get inspired by learning from industry trends and high-profile use cases from across LSEG.
• Be recognized as a trusted advisor and expert in LSEG, contributing your expertise and thought leadership to all engineering divisions within the organization.

Career Stage:
Manager

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.

About Us

At Ten10, we help organisations accelerate digital transformation by combining deep technical expertise with a passion for innovation. We partner with leading enterprises to design and deliver intelligent automation and low-code solutions that unlock efficiency, improve experiences, and enable scalability.

We believe in empowering our clients and colleagues - whether thats modernising processes with AI-driven automation or mentoring the next generation of talent through our academy.

The Role

We are looking for a Senior Intelligent Automation & Low-Code Developer with a strong focus on Microsoft Power Platform and Copilot technologies.

Youll play an important role in designing, developing, and delivering innovative automation and low-code solutions as part of a collaborative delivery team. You will contribute to client engagements, support junior team members, and work closely with Lead Consultants and Architects to deliver high-quality outcomes.

This is a hands-on technical role that also requires strong communication skills, stakeholder engagement experience, and the ability to contribute to automation initiatives within client environments.

Why Join Us?

• Work at the cutting edge of AI-driven automation and Microsoft Copilot.
• Influence strategic digital transformation programmes across industries.
• Be part of a collaborative, growing consultancy where your impact is visible.
• Mentor and develop junior colleagues through Ten10s award-winning academy.
• Flexible working with opportunities to engage directly with clients.

Key Responsibilities

• Solution Development: Design, build, and deploy automation and low-code solutions using Power Platform (Power Apps, Power Automate, Power BI) and Microsoft Copilot, ensuring quality and scalability.
• Client Engagement: Engage with a range of stakeholders to gather requirements, demonstrate solutions, and support successful delivery.
• Team Contribution & Mentorship: Support and guide junior developers, sharing knowledge and contributing to a strong team culture.
• Continuous Improvement: Stay current with emerging Microsoft technologies, Copilot capabilities, and AI-driven automation trends, applying new learning to client projects.
• Collaboration: Work closely with delivery teams, architects, and consultants to ensure solutions are robust, scalable, and aligned to client needs.

Essential Expertise

• Proven experience in Power Platform development (Power Apps, Power Automate, Power BI).
• Hands-on experience with Microsoft Copilot (e.g., Copilot Studio, Copilot in Power Platform).
• Experience engaging with business stakeholders and translating requirements into technical solutions.
• Experience supporting or mentoring junior team members.
• Strong problem-solving, solution design, and analytical skills.

Desirable Expertise

• Microsoft Certifications in Power Platform and/or Copilot.
• Previous RPA experience (UiPath, Power Automate Desktop, Blue Prism, Automation Anywhere).
• Knowledge of coding languages (e.g., .NET, JavaScript, Python) to extend low-code solutions (not essential).
• Experience integrating Power Platform with Azure AI services or other enterprise systems.

What Were Looking For

• A proactive and collaborative consultant with a passion for intelligent automation.
• Comfortable operating in a hands-on technical capacity while contributing to broader solution discussions.
• A clear communicator who can bridge business and technology conversations.
• Driven, adaptable, and motivated by continuous learning and innovation.

Cyber Threat Analyst (Penetration Testing) – London – Hybrid

A leading financial services client is hiring an entry-level Cyber Threat Analyst to join its Information Security team, with a focus on penetration testing and offensive security.

The Role

• • Support penetration testing and offensive security activities, including red teaming, breach and attack simulation (BAS), and bug bounty engagements.
  • Assist with incident response and participate in the on-call rota for major incidents.
  • Contribute to red/blue team exercises, threat hunting, SIEM rule tuning, and detection engineering.
  • Help deploy, maintain, and automate security tooling (email security, DLP, SIEM, endpoint protection) using scripting and Infrastructure as Code (IaC).

Required Knowledge and Experience

• • Up to 2 years of experience in IT, security engineering, or DevOps (internships or academic projects welcome).
  • Basic understanding of:
  • Ethical Hacking & Penetration Testing
  • Networking and security protocols (TCP/IP, HTTPS, DNS, Firewalls, Proxy)
  • Operating systems: Windows, Linux/Unix; Kubernetes desirable
  • Scripting or programming languages: Python, Bash, PowerShell
  • CI/CD tools and cloud platforms: e.g. Ansible Tower, Bitbucket, HashiCorp Vault, Pipelines, AWS, Azure
  • Software Development Life Cycle (SDLC) principles
  • Security tooling: EDR, SIEM, Antivirus

Qualifications / Skills Required

• • Desirable: University degree or equivalent qualification in a STEM subject (Computer Science, Engineering, or Information Systems).
  • Desirable: Entry-level security certifications such as CompTIA Security+, Microsoft SC-900, or AWS Cloud Practitioner.
  • Desirable: Demonstrated activity on TryHackMe, HackTheBox, or OSCP-related / Red Team training platforms (or equivalent).
  • Desirable: Evidence of contributions on GitHub, showing code samples, tool development, or participation in offensive security projects and repositories.

Personal Qualities

• • Inquisitive, analytical, and detail-oriented with a genuine passion for security engineering and automation.
  • Strong communicator who thrives in a collaborative, fast-paced environment supporting critical infrastructure.

If you’re keen to kickstart your career in penetration testing and threat analysis within a leading financial services environment, please apply with your CV.

Our client, a world leading systematic multi strat hedgefund is looking for a Site Reliability Engineer to work within their ETF Trading systems. This role combines building and owning the observability of the ETF trading platform as well as coordinating across exchange connectivity quant platforms and risk team. This role sits within the front office and blends that deep technical impact with front office speed and efficiency.

The optimal candidate will be someone who has previous experience in low latency trading settings setting the bar for reliability and scaling highly distributed systems within business critical systems. In addition to AI and agentic coding tools to accelerate trading work flows and strong python and bash scripting.

Responsebilities:

• Building and owning observability, deployment, and incident response for the ETF trading platform
• Designing and implementing development tooling and platform infrastructure to improve reliability and developer productivity
• Manage systems deployments, upgrades, and migrations
• Coordinate across exchange connectivity, quant platform and risk teams as new venues are onboarded.
• Automate exchange go-live operations, data pipelines, and desk workflows - leveraging AI tooling

Requirements:

• Experience in production SRE or platform engineering in a latency sensitive financial environment
• Deep experience in Linux systems cloud and infrastructure as code
• Experience with monitoring stacks and CI/CD pipelines
• Proficiency with AI and agentic coding tools to accelerate workflows
• Strong python and bash scripting for automation tooling
• Cross team collaboration and communication is key

Canada Life UK looks after the retirement, investment and protection needs of individuals, families and companies. We help to build better futures for our customers, our intermediaries and our employees by operating as a modern, agile and welcoming organisation.

Part of our parent company Great-West Lifeco, Canada Life UK has operated in the United Kingdom since 1903. We have hundreds of respected and supported employees committed to doing the right thing for our customers and colleagues.

Canada Life UK is transforming to create a more customer-focused business by providing our customers with expertise on financial and tax planning, offering home finance and annuities propositions, and providing collective fund solutions to third party customers.

Job Purpose

The Lead Data Engineer will provide hands-on technical leadership in Azure cloud and Databricks-based solutions within our Enterprise Data Platform. The role requires strong expertise in Azure cloud services, Databricks, data engineering, and DevOps, leading a cross-functional team to build, deploy, and support high-performance data-driven solutions.

The role involves:

• Interpreting Outcomes and user stories and translating them into technical solutions.
• Creating innovative solution designs for domain and enterprise data products.
• Overseeing Data Analysts to support detailed data discovery.
• Overseeing data modelling for Finance and Enterprise data products.
• Leading Product Increment planning to break down solutions into Features and Epics for incremental delivery.
• Designing and implementing scalable data solutions on Azure and Databricks within the assigned domain.
• Ensuring appropriate engineering standards are applied to maintain data quality, performance and reliability.

Duties/Responsibilities

• Work with Product Owners and Business Analysts to understand Outcomes, refine user stories.
• Lead solution design for Finance and Enterprise data products, ensuring alignment with enterprise patterns and guardrails.
• Direct and collaborate with Data Analysts on detailed data discovery, source understanding and requirements refinement.
• Oversee logical and physical data modelling for Finance and Enterprise data products, working closely with architecture where required.
• Implement and maintain data pipelines and ETL workflows in Databricks (PySpark, Delta Lake).
• Contribute to CI/CD pipelines for data applications using Azure DevOps and infrastructure-as-code (Terraform) in line with established patterns.
• Apply security, access control and compliance standards for Azure and Databricks in collaboration with platform and security teams.
• Support monitoring, logging and basic cost optimisation for the team’s data products.
• Support the development of DevOps practices within the team, including reducing technical debt and improving automation over time.

Skills, Knowledge and Experience

Lead Data Engineers are expected to have strong capability in at least three of the following areas of engineering practice.

Core skills

• Automation including testing of data pipelines and data products.
• Strong teamwork, communication and problem-solving skills to collaborate effectively with cross-functional teams.
• Awareness of security principles and best practices to ensure secure data solutions.
• Commitment to continuous learning and staying current with Azure, Databricks and data engineering trends.
• Strong experience working within an agile development methodology, ideally Scaled Agile (SAFe or similar).
• Excellent time and self-management through effective planning and prioritisation of tasks.
• Proven and demonstrable data engineering capability.
• Ability to influence within the team and communicate clearly with technical and non-technical stakeholders.

Data Engineer (New Technology / Microsoft)

• Strong experience with Databricks (Spark, PySpark, Delta Lake, and Unity Catalog advantageous).
• Proficiency in Azure data services (Azure Data Factory, Data Lake, Azure Functions advantageous).
• Experience contributing to CI/CD pipelines (Azure DevOps, GitHub Actions, Terraform).
• Scripting and programming skills (Python advantageous).
• Good understanding of DevOps and automation concepts (e.g. YAML pipelines, IaC).
• Solid understanding of cloud security, compliance and governance principles.
• Experience working with Databricks and Azure in a product or Scaled Agile delivery environment.

Qualifications

• Degree level IT or technical/scientific subject (or equivalent experience).
• Microsoft Azure Data Engineer or Solutions Architect certification (desirable).
• Databricks Certified Data Engineer or Machine Learning Associate (desirable).
• Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable).
• Knowledge of machine learning and AI on Databricks (desirable).

Benefits of working at Canada Life

We believe in recognising and rewarding our people, so we offer a competitive salary and benefits package that’s regularly reviewed. As a Canada Life UK colleague, you’ll receive a competitive salary and comprehensive reward package including a generous pension and bonus scheme, along with, income protection, private medical insurance and life assurance. We have a fantastic number of other benefits and support services as well as regular personal and professional development.

How we work at Canada Life

Our culture is unique and incredibly important to us. We care about doing the right thing for our people, customers and community and helping others to build better futures. Our blueprint behaviours shape and influence how we work, and are central to the relationships we have with others. Every day we are encouraged to be more curious, own the outcome, face into things together and find a way forward.

We want colleagues to have rewarding careers with us so we invest in the development of our people, technology and workplaces. That’s why we offer a range of training, flexible working and opportunities to grow and develop.

Diversity and inclusion

Building an inclusive workplace with a diverse workforce where everyone can feel they belong and achieve their potential regardless of gender, ethnicity or any other characteristic is a key commitment for us. We are proud of the progress we’re making in DEI, and we continue for it to be a significant focus.

“At Canada Life we believe in the power of great people from different backgrounds, experiences and perspectives coming together to build better futures. Emerging talent is crucial to our growth and creating an environment that continues to inspire us all.” Nick Harding, Chief People Officer, Canada Life UK

We appreciate that everyone has different work and life responsibilities. We’re happy to discuss flexible working arrangements, including part time, for any of our roles should this be a requirement for you.

Overview The VP Technology Business Analyst will partner with Compliance, Technology, and Front Office stakeholders to define, deliver, and continuously enhance trade and electronic communications surveillance capabilities. The role focuses on translating regulatory and business requirements into high-quality technology solutions, with strong knowledge of surveillance platforms (e.g., SMARTS, TradingHub) and hands-on experience applying AI/analytics techniques to surveillance use cases. Experience in Cash Equities and/or Fixed Income related products, including booking models and trade flows, is highly desirable—particularly for Trade Surveillance implementations. Key Responsibilities Regulatory Requirements & Business Analysis: 1. Own end-to-end business analysis for trade surveillance and eComms surveillance initiatives (new capabilities, enhancements, migrations, regulatory change). 2. Elicit, document, and manage: business requirements, functional specs, user stories, acceptance criteria, workflows, and operating models. 3. Lead workshops with Compliance Surveillance, Legal/Regulatory, Operations, and Technology to align scope and outcomes. 4. Demonstrate working knowledge of surveillance systems and integrations, including: 5. SMARTS (NASDAQ) 6. MAST (TradingHub) and/or similar TradingHub surveillance components 7. Case management workflows and alert ingestion pipelines 8. Define and validate source-to-target mappings from OMS/EMS, exchange/venue feeds, reference data, and communications archives into surveillance platforms. 9. Ensure controls around lineage, reconciliation, completeness, and evidentiary standards. AI / advanced analytics enablement: 1. Identify and translate AI/ML opportunities into implementable requirements (e.g., alert triage, clustering, anomaly detection, NLP for comms, entity resolution). 2. Partner with data science/engineering teams to define training data needs, evaluation metrics, model governance, and human-in-the-loop workflows. 3. Ensure explainability, auditability, and model risk considerations are addressed in requirements and operating procedures. Stakeholder management & governance: 1. Act as a key liaison between Compliance and Technology; manage prioritization, trade-offs, and delivery timelines. 2. Support UAT planning/execution, test strategy, and production readiness (runbooks, controls, monitoring, SLAs). Required Skills & Experience 1. Experience as a VP level Business Analyst / Product Analyst in a technology delivery environment (Agile, hybrid, or waterfall). 2. Strong domain knowledge of Equities and Fixed Income market structure and trade lifecycle (orders, executions, allocations, confirmations 3. Proficiency in SQL and familiarity with data analysis tools (e.g., Python, Excel, Tableau). 4. Hands-on experience working with surveillance platforms such as SMARTS and MAST (TradingHub), or closely comparable vendor tools. 5. Strong understanding of data integration concepts: message formats, data models, reference/master data, reconciliation, and controls. 6. This is a hands-on analysis role, primarily as an individual contributor with potential to lead a small team of global business analysts. 7. Excellent documentation and communication skills; able to translate complex business problems into clear specifications. 8. Familiarity with communications surveillance is beneficial but not required (role is trade-surveillance focused unless specified).

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
Tableau & Data Specialist - FX Data & Analytics, AVP/VP

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in data visualisation, reporting, data governance and analytics to Citi’s Global FX Team.

By joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.

Team/Role Overview

The FX Data & Analytics team, within Citi’s FX Sales and Trading organisation, seeks a highly driven and motivated Tableau & Data Specialist. The team provides data, analytics, and tooling to Citi FX Management, Sales, and Trading globally and is responsible for defining and executing the overall data strategy for FX.

The successful candidate will be responsible for designing and delivering high-quality dashboards and reports in Tableau, curating and governing the underlying data that powers them, and championing a “data as a product” mindset across the team. You will have the opportunity to contribute to building modern Gen AI-powered capabilities and integrating them into our data reporting. The role will benefit from close interaction with existing Tableau and data experts within the team and a wide range of stakeholders across Sales, Trading, and Technology. We are looking for a proactive self-starter with a practical and pragmatic attitude, the ability to build consensus, and work both collaboratively and independently in a dynamic environment.

What you’ll do

• Design, develop, and maintain production-grade Tableau dashboards and reports that deliver clear, actionable insights to FX Management, Sales, and Trading stakeholders globally.
• Collaborate with stakeholders to understand data and reporting needs, design scalable solutions, and deliver them in partnership with existing team members and Technology.
• Curate, cleanse, and prepare the datasets underpinning FX reporting and analytics, ensuring data is accurate, consistent, and fit for purpose, working with technologies such as SQL, KDB, and Python.
• Contribute to building and evolving Gen AI-powered capabilities within the FX reporting and analytics ecosystem, including NL2SQL/KDB functionality, and automated commentary and analysis.
• Champion and enforce data and reporting governance best practices across the team’s reporting estate, including automated testing frameworks and data quality controls to validate the accuracy and integrity of reports and underlying data.
• Integrate reporting and data workflows into CI/CD pipelines, enabling automated deployment, version control, and reliable release management of Tableau content and associated data assets.
• Embrace and promote a “data as a product” mindset - treating reports, datasets, and analytics outputs as products with defined owners, consumers, SLAs, and quality standards, actively contributing to a self-serve analytics capability.
• Contribute to shaping and executing the overall data and reporting strategy for FX in collaboration with the existing team and senior stakeholders, with a focus on consolidation, automation, and scalability of our reporting and analytics.

What we’ll need from you

• Proven experience designing and developing complex, production-grade Tableau dashboards and reports for business stakeholders in a fast-paced environment. Familiarity with other solutions for data visualisation and reporting is a plus.
• Strong data analysis skills, with the ability to interrogate large and complex datasets to surface meaningful insights.
• Proficiency in SQL and Python for data querying, transformation, and validation. Experience with other languages and technologies (e.g., KDB/q) is a plus.
• Ideally, familiarity with TabPy and Gen AI integrations in the context of data visualisation and reporting, alongside a good general understanding of Gen AI capabilities and solutions.
• Demonstrated experience in data curation, data quality management, and data governance, including data validation and reconciliation processes, data lineage, metadata management, access controls, and documentation standards.
• Ideally, experience of integrating data and reporting workflows into CI/CD pipelines with automated testing frameworks, alongside working knowledge of version control systems such as Git.
• Ideally, familiarity with data workflow management tools such as Airflow, cloud platforms and APIs.
• Excellent communication skills, with the ability to convey complex information clearly and concisely to technical and non-technical audiences.
• A working knowledge of FX markets and financial instruments would be beneficial.

What we can offer you

This is a role that will offer you the freedom to define the future direction of how data is visualised, governed, and consumed across our FX business. Every day there will be new business 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 that support you (and your family) to be well, live well and save well.
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 energised to join us, motivated to stay, and empowered to thrive.

Job Family Group:
Product Management and Development ------------------------------------------------------
Job Family:
Product 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.

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
EMEA Algo Trading Team Lead - Equities Technology

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.

What We do / The Team
Equities Technology at Citi is undertaking a bold, multi-year transformation to build a best-in-class global platform across execution, prime, clearing and cross-product margining. We are re-engineering our technology estate to achieve world-leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post-trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you’ll collaborate closely with high-calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi.

Role Overview/What will you do:
Citi Equities Technology is seeking a highly motivated and experienced Algo Team Lead to join our EMEA Equities Electronic Trading Engines team. This leadership role is crucial to the development and maintenance of Citi’s cutting-edge, low-latency execution platform in the EMEA region.

In this role, you will be responsible for the design, development, and delivery of the next generation of this critical platform. This involves collaborating closely with a talented team of developers and working with product development, other technology teams, production support, and quality assurance. A strong understanding of and alignment with the global strategy is essential for success.

• The successful candidate will work with teams across Equities Trading Technology implement solutions that benefit the business
• Partner with traders, quantitative researchers, and clients on product development.
• Build common solutions for trading platform monitoring, trade reconciliation, and application recovery.
• Lead and mentor a team of software engineers, fostering a collaborative and high-performing environment.
• Design, develop, and support the high-performance electronic execution platform.
• Partner with traders, quantitative researchers, and clients on product development.
• Continuously maintain and improve testing frameworks, development tools, and environments.
• Envision, design, and implement test cases for trading functions.
• Contribute to Agile and Continuous Integration processes.
• Build common solutions for trading platform monitoring, trade reconciliation, and application recovery.
• Drive the design and development of system architecture, work with end-users of the systems, and enhance the quality of deliverables Ensure staff follows Citi documented policy and procedures as well as maintain desktop procedures and supporting documentation for filings on a current basis and in comprehensive manner
• Contribute to defining and implementing best practices and processes for the department and ensure transparency and consistency across teams

Key Skills and Experience required

• Hands on technical experience of Equities Algo trading systems
• Extensive experience with strong technical knowledge and expertise in Java, C#
• Proven experience developing automated trading platforms.
• Strong understanding of automated testing techniques.
• Solid understanding of Agile methodologies and Continuous Integration processes.
• Ability to prioritize multiple tasks, set goals, and meet deadlines.
• Excellent communication skills with a demonstrable ability to present and grasp complex concepts in a multicultural environment

Any Beneficial / Nice to have skills and experience:

• Python knowledge is a plus.

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.
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.

Relocation Opportunities - Singapore, Hong Kong, Sydney

We’re partnered with several leading funds that are offering relocation packages for candidates with Industry experience.

Data Engineer - Quantitative Research Environment

Overview

An elite trading and research firm is seeking a skilled technologist to join a collaborative team supporting the data-driven backbone of a world-class quantitative investment strategy.

This is a unique opportunity to design, build, and maintain critical research and data infrastructure that empowers traders, data scientists, and quantitative researchers across the business.

What You’ll Do

• Own and manage large-scale, high-value datasets from acquisition through to integration in quantitative pipelines.
• Architect and automate robust data workflows, including extraction, cleaning, validation, and transformation.
• Collaborate closely with quant researchers to translate analytical needs into efficient, scalable data systems.
• Build monitoring tools to detect anomalies and maintain data integrity across petabyte-scale systems.
• Contribute to a cutting-edge research platform that enables backtesting, simulation, and strategy development.
• Improve data storage and retention efficiency using distributed systems and performance-optimised formats.
• Troubleshoot complex technical issues across multiple layers, including low-level market data handling and high-level research tooling.

What We’re Looking For

• Strong programming capabilities in Python and/or C++ (familiarity with Java is a bonus)
• Experience handling large datasets, structured and unstructured, ideally within financial markets or other high-throughput environments.
• Hands-on exposure to data engineering tools (e.g. ETL frameworks, schedulers, CI/CD pipelines, DBT).
• Working knowledge of distributed storage and compute systems.
• Understanding of time-series data and techniques used in quantitative modelling or forecasting.
• Ability to work in Linux/Unix environments with solid command-line proficiency.
• Analytical thinker with strong communication skills and the drive to work across teams.
• Degree in Computer Science, Engineering, Mathematics, or related field.

Why Join?

• Work in a high-performance environment where your contributions directly influence trading outcomes.
• Collaborate with talented engineers and researchers solving real-time and large-scale data challenges.
• Leverage the latest in cloud computing, automation, and software development practices.
• Be part of a lean, impactful team trusted with building core systems from the ground up.

Compensation: Competitive (Financial Services)

About TradingHub

Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation.

With a team of over 150 experts worldwide, TradingHub combines global reach with deep markets expertise to help our customers mitigate financial, regulatory, and reputational risk.

The Role

We are seeking a Quantitative Developer to help design, build, and validate the models that power our industry-leading market surveillance and analytics products. As part of our metrics division, you’ll collaborate with a team of engineers and quants to create and deploy market abuse metrics and detection algorithms.

The successful candidate will combine excellent mathematical skills with the proven ability to engineer high-quality software in a practical setting.

Responsibilities:

• Development of sophisticated pattern-detection algorithms to be utilised across all of TradingHub’s product offerings
• Research and development of broad models of market dynamics across multiple asset classes
• Prototyping, testing, and validation of TradingHub’s proprietary mathematical/statistical models
• Use of in-house big data language for the large-scale pricing and analysis of security and risk data
• Implementation and optimisation of the core algorithms used by TradingHub to perform deep analysis of financial data
• Requirements

Requirements

• Proficiency with C#, C++ or Python
• Evidence of exceptional mathematical and analytical skills
• Initial industry experience working as a quant within a financial services organisation
• Some knowledge of risk sensitivities or “Greeks” such as Delta, Gamma, DV01 etc.
• Understanding of derivatives (e.g. swaps, options, futures)
• Confidence to experiment with new ideas and technologies
• Keen to work in a fast-paced environment

Benefits

Life at TradingHub is a rewarding journey within a fast-growing company that thrives on innovation and collaboration. By combining the best of technology and global markets, we’re able to solve complex problems together and deliver meaningful results to our customers. Everybody has value to bring, and we welcome individuality as a key driving force behind our collective success.

Rooted in everything that we do are our core values: Accountability, Ambition, Partnership and Trust. These values provide the foundation for a sustainable workplace culture that empowers you to grow, contribute, and become your best self.

Employee Benefits:

• Annual discretionary performance bonus (permanent employees only)
• Hybrid working policy
• Office lunches twice a week
• Private medical insurance + dental cover
• Extended parental leave (up to 6 months of fully paid maternity leave)
• 25 days annual leave + bank holidays
• Enhanced company pension plan
• 5 days study leave towards professional qualifications
• Salary sacrifice schemes
• Death in service coverage

Don’t tick every single requirement? Research shows that candidates from under-represented groups are less likely to apply unless they meet all the criteria. We are dedicated to building a diverse, equitable and inclusive workplace, so if this role excites you, please don’t let our specification hold you back. Get in touch!

TradingHub is an equal opportunities employer. We do not discriminate based on race, religion, ethnic or national origins, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, socio-economic background, responsibilities for dependants, physical or mental disability or other applicable legally protected characteristics. TradingHub selects candidates for interview based solely on their skills, experience and qualifications.

We are committed to making our recruitment process accessible to all and we encourage candidates to inform us of any required adjustments. A full copy of our diversity, equity and inclusion policy will be made available to you upon request.

Hybrid (3 days in the office, 2 days WFH)

London

McCabe & Barton are partnering with a leading financial services client to recruit an experienced Interim Data Platform Engineer for a 6 month contract opportunity for an Investment House . This is an excellent opportunity to join a forward-thinking team driving innovation with modern cloud-based data technologies.

Role Overview

As a Data Platform Engineer, you will design, build, and maintain scalable cloud-based data infrastructure using Azure and Databricks. You’ll play a key role in ensuring that data pipelines, architecture, and analytics environments are reliable, performant, and secure.

Key Responsibilities

Platform Development & Maintenance

• Design and implement data pipelines using Azure Data Factory, Databricks, and related Azure services.
• Build ETL/ELT processes to transform raw data into structured, analytics-ready formats.
• Optimise pipeline performance and ensure high availability of data services.

Infrastructure & Architecture

• Architect and deploy scalable data lake solutions using Azure Data Lake Storage.
• Implement governance and security measures across the platform.
• Leverage Terraform or similar IaC tools for controlled and reproducible deployments.

Databricks Development

• Develop and optimise data jobs using PySpark or Scala within Databricks.
• Implement the medallion architecture (bronze, silver, gold layers) and use Delta Lake for reliable data transactions.
• Manage cluster configurations and CI/CD pipelines for Databricks deployments.

Monitoring & Operations

• Implement monitoring solutions using Azure Monitor, Log Analytics, and Databricks tools.
• Optimise performance, ensure SLAs are met, and establish disaster recovery and backup strategies.

Collaboration & Documentation

• Partner with data scientists, analysts, and business stakeholders to deliver effective solutions.
• Document technical designs, data flows, and operational procedures for knowledge sharing.

Essential Skills & Experience

• 5+ years of experience with Azure services (Azure Data Factory, ADLS, Azure SQL Database, Synapse Analytics).
• Strong hands-on expertise in Databricks, Delta Lake, and cluster management.
• Proficiency in SQL and Python for pipeline development.
• Familiarity with Git/GitHub and CI/CD practices.
• Understanding of data modelling, data governance, and security principles.

Desirable Skills

• Experience with Terraform or other Infrastructure-as-Code tools.
• Familiarity with Azure DevOps or similar CI/CD platforms.
• Experience with data quality frameworks and testing.
• Azure Data Engineer or Databricks certifications.

Please apply with an updated CV if you align to the key skills required!

A leading Financial Services organisation undergoing a large scale data transformation is looking to hire an experienced Data Quality Manager on a permanent basis. The role offers a salary of £100,000 plus a strong benefits package and flexible working.

This role will suit a technically credible Data Quality leader with a genuine passion for data quality, accuracy and trust. You will work closely with data engineers and platform teams to embed pragmatic governance and quality controls into delivery, while influencing stakeholders across the business and possess a commercial mindset.

This is a hands on technical leadership role, combining data quality and governance ownership with practical engineering input. You will lead a small team and partner with data engineers and operational SMEs to embed best practice across data quality, governance and data management.

Role remit

• Own and evolve the data governance framework within an engineering-led environment
• Define governance standards, guardrails, data contracts and SLAs
• Partner with Risk, Audit, Data Protection and Legal to meet compliance requirements
• Work with data engineering teams to embed data quality into pipelines and workflows
• Provide hands-on guidance on data modelling, reconciliation, metadata and best practice

Experience required

• Strong background in Data Quality, Data Governance and Data Management within a modern data engineering environment
• Hands-on experience with cloud data platforms, Azure, SQL, Python and orchestration tools
• Proven experience embedding data quality controls across data pipelines and ETL transformation workflows
• Good understanding of modern data architectures and quality control patterns
• Experience with data profiling, lineage analysis, reconciliation and metadata management
• Strong stakeholder communication skills with the ability to influence engineering teams

If you are an experienced Data Quality Manager with the required background, please respond with an up-to-date CV for review.

Cyber Threat Specialist (Blue Team) – Financial Services – London – Hybrid – Excellent Overall Package

The role

Join a leading financial services client as a Cyber Threat Specialist (Blue Team) and help strengthen a critical Threat Detection & Response function. You will be a key member of the Threat Detection & Response team, focusing on defensive security across complex, business‑critical environments. Working closely with engineering, infrastructure and security teams, you will help design, implement and optimise high‑fidelity detections, investigate incidents, and contribute to continuous improvement of cyber defences.

What you’ll be doing

• Deliver hands‑on detection engineering, incident response, threat hunting, security engineering and threat intelligence activities.
• Investigate and respond to security incidents across host, identity, email, SaaS and cloud workloads.
• Use and tune security tooling such as EDR, DLP, SIEM and SOAR to improve detection and response effectiveness.
• Apply frameworks such as MITRE ATT&CK and the cyber kill chain to map, detect and disrupt attacker tradecraft.
• Leverage offensive tooling (Kali, Cobalt Strike, Metasploit, Bloodhound, Mimikatz, etc.) to understand and defend against real‑world attack techniques.
• Contribute to secure architectures across networks, operating systems and cloud platforms.

What we’re looking for

• Minimum of 3 years’ hands‑on experience in at least two of: detection engineering , incident response, digital forensics, security operations, threat hunting, threat intelligence, with exposure to the others.
• Strong experience with security tooling: EDR, DLP, SIEM, SOAR.
• Solid background in threat investigation and incident response.
• Good understanding of MITRE ATT&CK, cyber kill chain and common attacker tradecraft.
• Familiarity with offensive tools such as Kali, Cobalt Strike, Metasploit, Bloodhound, Mimikatz.
• Strong knowledge of networking and security protocols (TCP/IP, HTTPS, DNS, firewalls, proxies).
• Experience with Windows and Linux/Unix (Kubernetes exposure a plus).
• Scripting or programming skills in Bash, Python or PowerShell.
• Exposure to CI/CD tools and cloud platforms (e.g. Ansible Tower, Bitbucket, Pipelines, Azure).
• Understanding of secure network architectures and related technologies.

How to apply

If you’re interested and think you align with this opportunity, please apply with an updated CV.

Senior Software Engineer – Data Engineering

Contract duration:- 6 months initially (with extension available for the right person)

Location:- London EC4

Hybrid working:3 days per week in office + 2 days WFH

Rate: £650 inside IR35

Join our Data Engineering team at the heart of a quantitative investment firm, powering the infrastructure which drives our systematic trading strategies and cutting-edge discretionary research. You’ll help architect a multi-petabyte scale estate, processing billions of datapoints daily from thousands of data sources. Our stack combines Java and Python, with foundations of Kafka, ArcticDB, MongoDB, and more.

What you bring to the role

• Experience working with large scale messaging and downsampling solutions
• Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics
• 5-7 years of professional experience in software engineering with Java or Python as your primary language and knowledge of both
• Proficient on Linux platforms and strong understanding of Git
• Deep knowledge of one or more relevant database technologies such as Iceberg, Postgres, or MongoDB
• Strong problem-solving skills and attention to detail
• Strong communication and collaboration abilities
• Ability to work independently and gather requirements from stakeholders

Advantageous to have

• Familiarity with distributed systems and orchestration

• Experience with performance optimization and large-scale data processing

• Contributions to open-source projects

• Experience working with Large Language Models (LLMs)

ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services - and our open-access model - we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder - which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organization spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers!

ROLE SUMMARY:

Ready to build scalable data systems with real-world impact?

Join us at FTSE Russell! We’re establishing a team of engineers passionate about data, software craftsmanship, and substantial impact. As a Lead Software Data Engineer, you’ll help power the indices trusted by financial institutions worldwide. You’ll work in a modern AWS environment, build robust pipelines, and collaborate closely with product and business teams to deliver reliable, high-quality data solutions. We care about code quality, ownership, and helping each other grow. If you’re excited about building systems that matter, we’d love to meet you!

WHAT YOU’LL BE DOING:

We are building the next-generation data platform at FTSE Russell - and we want you to shape it with us. Your role will involve:

• Designing and developing scalable, testable data pipelines using Python and Apache Spark
• Orchestrating data workflows with AWS tools like Glue, EMR Serverless, Lambda, and S3
• Applying modern software engineering practices: version control, CI/CD, modular design, and automated testing
• Contributing to the development of a lakehouse architecture using Apache Iceberg
• Collaborating with business teams to translate requirements into data-driven solutions
• Building observability into data flows and implementing basic quality checks
• Participating in code reviews, pair programming, and architecture discussions
• Continuously learning about the financial indices domain and sharing insights with the team

WHAT YOU’LL BRING:

• Writes clean, maintainable, testable, extensible Python code (ideally with type hints, linters, and tests like pytest)
• Understands data engineering basics: batch processing, schema evolution, and building ETL pipelines
• Has experience with or is eager to learn Apache Spark for large-scale data processing
• Is familiar with the AWS data stack (e.g. S3, Glue, Lambda, EMR)
• Strong experience in relational databases (e.g. Aurora PostgreSQL)
• Enjoys learning the business context and working closely with stakeholders
• Works well in Agile teams and values collaboration over solo heroics

NICE TO HAVES:

It’s great (but not required) if you also bring:

• Experience with Apache Iceberg or similar table formats
• Familiarity with CI/CD tools like GitLab CI, Jenkins, or GitHub Actions
• Exposure to data quality frameworks like Great Expectations or Deequ
• Experience with other data platforms like databricks, etc.
• Curiosity about financial markets, index data, or investment analytics

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 organization 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, color, 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 .

Proud to share LSEG in the India is Great Place to Work certified (Jun '25 - Jun '26).

Learn more about life and purpose of our company directly from India colleagues’ video: Bengaluru, India | Where We Work | LSEG

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.

In this role, your primary focus will be on engineering – crafting robust, low-latency, and high-throughput systems that directly drive trading performance. The role demands an elite level of coding ability, especially in C++ , and a deep interest in how software architecture impacts real-world execution. If you’re passionate about clean code, optimization, and pushing the limits of what software can do in production, this is the environment for you. Key Responsibilities 1. Design, develop, and deploy high-performance C++ code to power algorithmic trading systems. 2. Optimize latency-critical components through low-level systems programming, performance tuning, and efficient data handling. 3. Engage in continuous refactoring, testing, and code review to ensure engineering rigor and production stability. 4. Work across the stack—from network interaction to execution pipelines—and contribute to system-wide performance gains. 5. Collaborate with a world-class team of engineers and researchers to translate abstract trading ideas into production-grade code. 6. Stay current with modern hardware, compiler behavior, and systems-level development techniques. 7. Build and maintain tooling to support automated testing, monitoring, and deployment in a Linux-based environment. What We're Looking For 1. Degree in Computer Science, Engineering, Physics, or Mathematics (minimum BSc or equivalent) from a red brick University. 2. Proven experience as a software engineer—whether through professional roles, open-source contributions, or independent projects. 3. Expert-level programming in C++ (required), with an emphasis on performance, memory management, and concurrency. 4. Proficiency in at least one scripting language (preferably Python) for tooling and prototyping. 5. Strong understanding of system internals—compilers, memory models, CPU architecture, and how code translates into hardware behavior. 6. Familiarity with Linux systems and modern development practices (e.g., CI/CD, TDD, code reviews). 7. Interest in algorithm design, data structures, and writing code that is both elegant and efficient. 8. Clear communicator who can explain technical ideas and collaborate constructively with peers. Why Join 1. Be part of a deeply technical, tight-knit engineering culture that prioritizes precision, pragmatism, and performance. 2. Work on greenfield projects that have direct and measurable impact on real-world trading outcomes. 3. Competitive compensation and the chance to be immersed in a fast-paced environment that rewards technical depth and curiosity. Apply:- Please send a PDF CV to quants@ekafinance.com

Senior Data Engineer London (Hybrid Working) Full-time | Permanent £80,000 - £90,000 (depending on experience) About the Company: Viqu Energy is working with a fast-growing tech company building solutions at the forefront of the energy transition. As the grid shifts toward renewables, their platform helps optimise and trade large-scale battery storage and renewable assets, supporting a more flexible, reliable, and low-carbon energy system. You'll be part of a collaborative, inclusive team solving complex problems in a fast-paced, high-impact environment. About the Role: We're looking for a Senior Data Engineer to design, build, and scale the data infrastructure behind the company's platform. Data is central to their work, from power market analytics to real-time asset telemetry. You'll focus on delivering robust data products (not just pipelines), enabling data-driven decisions across the business and for their clients. You'll work closely with data scientists, engineers, and stakeholders to help shape the future of energy systems. What You'll Do: \* Design and build scalable data services within a modern architecture. \* Develop ETL pipelines for efficient data ingestion and transformation. \* Enable advanced analytics and optimisation of energy assets. \* Apply DevOps best practices using Terraform and AWS. \* Maintain high standards of data quality and reliability. \* Collaborate across teams to deliver impactful solutions. \* Mentor team members and promote best practices. About You: \* Degree in Computer Science (or equivalent experience) \* Strong experience with data pipelines, storage, and platforms \* Advanced Python skills and production-level coding experience \* Experience building and deploying data services end-to-end \* Solid understanding of ETL and data engineering best practices \* Experience with SQL/NoSQL, APIs, and cloud platforms \* Familiarity with big data tools and MLOps concepts \* Strong communication, collaboration, and mentoring skills Main Tech Stack: Python AWS (S3, Athena), Terraform, Docker Prefect, Pulsar PostgreSQL, Cassandra GitLab CI/CD What's On Offer: 25 days holiday + bank holidays + festive closure Flexible, hybrid working Enhanced parental leave Annual salary reviews Learning & development budget + paid memberships Inclusive culture, employee networks, and regular socials Sound good to you? Send your CV to Lily at Viqu Energy today