Software Engineer

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 commitment 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.

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 med-levelsoftware 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 are managed across PostgreSQL (RDS), Redshift/Snowflake, and S3.

Examples of recent projects include:

• Expanding the client portal and data pipelines with new services and products

• Setting up new connection to trade booking systems and APIs to trade and manage client risk exposure

• Setting up a new interactive system – leveraging frontend and backend systems - to simplify client constraints definitions

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

• 3-6 years of experience in software engineering, with strong Python development skills

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

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