Quantitative Developer - London

Work model: Hybrid (4 days in office)
Level: 3 years’ experience

We are working with a technology-led hedge fund spin-out building a next-generation portfolio management and analytics platform used across multiple asset classes.

The role sits within a Cross-Asset Development team focused on building and enhancing a scalable front-office platform supporting trading, risk, and analytics functions.

This is a highly engineering-focused Quant Developer position, combining software development with exposure to financial markets and derivatives.

Role Summary

You will be responsible for developing and maintaining core components of a production trading and analytics platform, working closely with quants, traders, and product stakeholders.

The role is primarily focused on platform engineering rather than quantitative research or model development.

Key Responsibilities

• Develop and enhance core platform services in C#
• Implement analytics and model components into production systems
• Support and extend a proprietary analytics library in C++
• Build supporting tools and scripts in Python
• Work across distributed, cloud-based infrastructure
• Provide production support across multiple asset classes, with a focus on rates

• C# (primary platform language)
• C++ (quant analytics library)
• Python (calibration, tooling, automation)
• SQL / data tools
• Cloud-based distributed computing (AWS-style environment)
• CI/CD and version control tooling
• Market data / trade ingestion systems

• 3+ years’ experience in front-office or trading-focused development
• Strong coding ability in C# and/or Python
• Solid software engineering fundamentals (data structures, algorithms, design principles)
• Exposure to interest rate derivatives or broader fixed income markets
• Strong analytical mindset and problem-solving ability
• Degree in a technical or quantitative discipline

• C++ experience
• Exposure to FX, Credit, Equities or Commodities derivatives
• Experience working directly with traders or portfolio managers