Job Specifications
Quantitative Engineer – $70bn Credit Hedge Fund - London - Up to £450k TC
My client, a $70bn AUM, credit‑focused hedge fund hiring a Quantitative Engineer to help build the next generation of pricing, risk and market data infrastructure for their credit and structured products business. This is a hands‑on engineering role close to the PMs and traders, with your work feeding directly into risk, P&L and portfolio construction.
About the team
You’ll join a small, high‑calibre engineering group that builds and maintains systems used across trading, risk, research and operations. The team works side‑by‑side with quantitative researchers and portfolio managers, designing and delivering the platforms that power trade modelling, market data, intraday risk and scenario analysis. Leadership is technical, engineering‑literate, and sets a high bar, but the culture is collaborative with strong ownership and learning.
There is also a dedicated internal platform effort focused on core infra, tooling and developer experience, so you’ll be in an environment that takes build quality, robustness and performance seriously.
What you’ll do
You’ll work on a mix of greenfield and existing systems, with scope aligned to your level, typically including:
Designing and implementing pricing and risk analytics for credit instruments and structured products.
Building low‑latency trade and market data services, including feed handlers, normalisation and storage.
Developing scenario and stress testing engines for PMs and risk.
Contributing to core platform components in Rust and Python, with a focus on performance, correctness and observability.
Owning services end‑to‑end: design, implementation, testing, deployment and production support.
At junior–mid level (c. 3+ years):
Take responsibility for well‑defined components and features within pricing, data or risk systems.
Work closely with senior engineers on design reviews, code quality and best practices.
Grow exposure to fixed‑income/credit products, system design and production operations.
At senior level:
Lead design and build of larger features or services, from requirements through to production rollout.
Help shape architecture as systems move off legacy platforms into more modern, cloud‑friendly designs.
Influence engineering practices (testing, CI/CD, observability, infra‑as‑code) and mentor less experienced developers.
Skills and experience
Required:
Strong STEM background (maths, physics, computer science, engineering or similar) and advanced analytical skills.
Excellent hands‑on programming in at least one of Python, Rust or C++; comfortable picking up new languages and tools.
Proven experience building robust, performant systems in complex, data‑heavy environments (finance a plus, but not essential).
Pragmatic “get‑things‑done” mindset with attention to correctness, performance and maintainability.
Strong communication skills and a collaborative, team‑oriented approach.
Desirable:
Experience with pricing and/or risk models, ideally for fixed income or credit products.
Exposure to Linux/Unix environments and cloud‑native patterns.
Contributions to open‑source projects or internal shared libraries.
Why this role
Work directly with PMs, quants and traders on systems that sit on the critical path for risk and portfolio decisions.
Help drive a strategic rebuild of core credit pricing, risk and data infrastructure using modern languages and patterns rather than maintaining legacy stacks.
Join a high‑quality engineering culture with strong technical leadership, real impact and the ability to grow into broader ownership or leadership over time.
Inclusive, collaborative environment that values different perspectives and is actively open to talent from diverse backgrounds.