Quantitative Model Developer – Research Technology - Multi-Strategy Hedge Fund - London - Up to £400k TC
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Quantitative Model Developer – Research Technology - Multi-Strategy Hedge Fund - London - Up to £400k TC
A well-established hedge fund with a strong track record is seeking to expand its Research Technology team. The group supports the in-house research function by developing scalable applications, data infrastructure, and modelling platforms to deliver high-quality insights for investment decision-making.
The Role
As a member of the Research Technology team, you will:
- Develop model code to transform research models into scalable, production-ready applications.
- Maintain and enhance the research modelling platform to support faster testing of new ideas.
- Build scalable data pipelines and integrate data from relevant systems.
- Work with Risk Managers, Portfolio Managers, and the Investment Committee to ensure effective application of research outputs.
Key Responsibilities
- Design, build, and maintain efficient and reliable Python code and infrastructure.
- Develop and maintain the risk modelling, pricing, and analytics suite.
- Partner with business users to deliver new tools, troubleshoot existing solutions, and provide guidance on best practices.
- Explore and implement new approaches to analytics and data handling across multiple asset classes (Equities, Fixed Income, Credit, FX).
Candidate Profile
- Strong programming skills in Python (Pandas, NumPy), with MATLAB experience required.
- Familiarity with other data analysis tools (R, Eviews) is an advantage.
- Experience managing projects from requirements gathering through to testing and release.
- Strong communication, problem-solving, and organisational skills.
- Prior front-office or risk technology experience within a bank, asset manager, or hedge fund is desirable.
Academic Qualifications
- A-Levels at grades A*/A/B (or international equivalent).
- First-class degree in a STEM subject or related field from a Russell Group university (or international equivalent).
Additional Information
- The fund operates across a broad range of complex instruments, including rates, FX, equity derivatives, commodities, and credit.
- The environment is fast-paced and detail-oriented, requiring strong technical skills and adaptability.
- Compensation is competitive, with the potential for performance-related bonuses.