Python Quantitative Developer

Python Software Engineer | Quantitative Hedge Fund

Technical Quantitative Developer / Software Engineer with deep Computer Science expertise applied to Python, its libraries and ecosystem as well as professional experience with SDLC tooling, Linux, Docker, and SQL sought to join a specialist London headquartered Quantitative Hedge Fund. You will join as a more junior member, as part of a small team designing and implementing a central platform for Backtesting, Pricing, Risk and Performance, to be used across all Funds and Investment teams.

Finance experience is not an essential criterion.

This new core team collaborates with Quantitative Researchers and Portfolio Managers to design and implement scalable solutions, addressing complex business needs, in particular delivering and maintaining critical components of the Investment Infrastructure, such as the Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks, to be used by diverse Investment teams as part of their daily work.

The target architecture will be written in pure Python, with SQL RDBMS, on a Dockerised on‑prem Red Hat Linux platform. Python is the primary required skill; however solid professional proficiency of building and shipping software in Linux/Docker environments as well as SDLC tooling such as Git Lab CI/CD are also required. In return for your Computer Science and Engineering expertise, full training on Quantitative Finance, Hedge Funds and Systematic Investing will be provided.

Design and implement core platform components for Backtesting, Pricing, Risk and Performance.

Collaborate with Quantitative Researchers and Portfolio Managers to deliver scalable solutions.

Maintain critical components of the Investment Infrastructure, including Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks.

• Undergraduate degree in Computer Science, Computing, Software Engineering or similar with top grades; MSc or possibly PhD level academics preferred.
• Strong Python skills, with 3+ years of professional experience in a technically and/or scientifically complex environment.
• Proficiency in Linux and Docker, including system administration and containerization for deployment and scaling.
• Hands‑on experience with continuous integration and delivery systems such as Jenkins and Git Lab CI/CD and a strong understanding of SDLC best practices.
• Knowledge of SQL for database management and query optimization.

• Seniority level:
  Mid‑Senior level
• Employment type:
  
  Full‑time
• Job function:
  Engineering and Information Technology
• Industry: Software Development, Investment Banking, Investment Management
• Location:
  
  London, United Kingdom
• Base pay range: £60,000 - £90,000

This is an outstanding opportunity to join a world‑class boutique Systematic Investment business, playing a key role in the delivery of a crucial core platform for use by cross‑functional teams across multiple investment platforms.