Quantitative Developer

The Role

We are looking for a mid‑level quantitative developer / financial engineer to join our optimisation services team.

In this role, you will contribute to building and enhancing systems that power large‑scale optimisation runs used by global financial institutions.

You’ll collaborate with colleagues in Software Engineering and Product Development to deliver reliable, high‑quality solutions, while continuing to develop your expertise in quantitative methods and software engineering.

This is a product and client‑focused role, where successful candidates will develop one or more of our services and will support live client optimisations.

This is a collaborative role with opportunities to contribute both to strategic projects and continuous improvements, where your work will have visible and meaningful impact.

• Examples of Recent Projects
• Implement improvements to our Interest Rates LCH Compression algorithm.
• Enhance our Counterparty Risk optimisation with new constraints and features.
• Work on adding support for Hedge Funds and Clearing Brokers in Initial Margin optimisations.
• Improve runtime performance of our core algorithms.
• Streamline workflows and improve system architecture to reduce manual steps.

Key Responsibilities

• Contribute to the development and improvement of optimisation and analytics libraries.
• Work with teammates to understand and improve how data flows through our systems.
• Support optimisation runs alongside our Production team, helping ensure reliable execution.
• Explore ways to tune models and solutions to better meet client needs.
• Take part in both longer‑term projects and shorter, iterative improvements.
• Collaborate with colleagues across teams to share knowledge and improve our products.
• What We’re Looking For

We are interested in people with a strong foundation in quantitative development and a curiosity for solving complex problems. You might bring:

• 3‑5 years of experience using Python in a data‑intensive or numerical environment.
• Familiarity with software development practices such as testing, version control, and clean code design.
• Experience working with libraries such as pandas and numpy.
• Strong problem‑solving skills and an interest in understanding how systems behave.
• Ability to communicate technical ideas clearly to a range of audiences.

Desirable

Experience in any of these areas would be a plus

• Optimisation techniques (e. g., linear programming, mixed‑integer programming, convex optimisation).
• Experience with optimisation libraries or modelling tools.
• Understanding of financial products, derivatives, or risk concepts.
• Exposure to UNIX/Linux or cloud environments such as AWS.
• A background in mathematics, statistics, or related fields.
• Working With Us
• You’ll work in a collaborative, supportive team where knowledge sharing is encouraged.
• You’ll have opportunities to learn and deepen your expertise in both quantitative methods and software engineering.
• You’ll be involved in solving real‑world problems with tangible impact on financial markets.
• We value continuous improvement—both in our systems and in how we work together.
• Career Stage
• Senior Associate

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.

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

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