Python Developer - LSEG (London Stock Exchange Group)

The Optimisation CoreTech Strats team builds the systems that sit at the heart of Quantile’s client services. As a large, diverse, and highly collaborative engineering team, we are responsible for designing and delivering the infrastructure, applications, and data pipelines that allow financial institutions to securely submit risk and trade data to Quantile.

The Role

We are looking for a m i d-level software engineer to join our 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 Product Development and Financial Engineering to deliver reliable, high-quality solutions, while continuing to develop your expertise in infrastructure systems and software engineering.

You will validate and integrate financial data into the optimisation algorithms and ensure results are delivered back to clients in a secure, reliable, and timely way. You will also develop analytics and feedback capabilities that help both our Product management team and clients better understand outcomes and identify ways to improve future optimisation runs through adjustments to inputs, parameters, and workflows.

Our technology stack is centred on Python on the backend, with extensive use of AWS services, and React on the frontend. Data is managed across PostgreSQL (RDS), Redshift/Snowflake, and S3.

Key Responsibilities

Design, build, and deliver high-quality software solutions both independently and as part of a wider engineering team

Develop APIs and backend services for scenario generation and integration with quantitative libraries

Evaluate and improve the performance, effectiveness, and reliability of system components

Validate and process client data accurately and securely

Identify and implement opportunities to automate processes and workflows

Generate structured reports and formatted output files for delivery to clients and third-party APIs

What We’re Looking For

Strong Python skills

Experience working with trade booking, middle-office, or post-trade systems, and familiarity with standards such as MarkitWire , FpML , or FIX protocol

Familiarity building data-intensive applications, including use of PyData stack

Strong problem-solving, communication, and collaboration skills

Familiarity with Unix/Linux, Git, and SQL

Desirable

Knowledge of financial derivatives, clearing and the basics of margin and capital regulatory requirements

Exposure to AI-assisted tools or workflow automation in a secure, responsible engineering environment

Experience across the full software development lifecycle, and understanding of software design principles (including SOLID), clean code practices, and object-oriented programming

Affinity with Java and/or C++ programming

Career Stage: