Venture Search

About the Company

Delivering high-performing recruitment solutions through collaborative partnerships.

By fully immersing ourselves in key specialist markets, we truly understand our clients' and candidates' specific requirements, enabling us to provide credible insights, bespoke solutions, and successful recruitment outcomes.

Our market specialisms include:
- Investment Banking & Advisory
- Public & Private Markets
- Global Markets
- Hedge Funds & Proprietary Trading
- Commodities
- Financial Technology
- Governance, Risk, & Compliance

Listed Jobs

Company Name

Venture Search

Job Title

Quantitative Researcher

Job Description

Job Title: Quantitative Researcher Role Summary: A systematic equities researcher focused on developing and deploying statistical arbitrage strategies across global equity markets. Works closely with trading, portfolio management, and engineering teams to translate research into production-ready, scalable alpha‑generating models. Expectations: Deliver robust, repeatable sources of alpha; maintain high model quality through continuous refinement; collaborate with cross‑functional teams; meet performance metrics in a commercial, results‑driven environment. Key Responsibilities: - Design, implement, and back‑test statistical arbitrage signals on large equity datasets. - Identify, evaluate, and validate new alpha sources across global markets. - Partner with portfolio managers and traders to integrate research findings into portfolio construction and risk management frameworks. - Coordinate with engineering teams to optimize model performance, ensuring efficient deployment and low-latency execution. - Maintain and improve existing models, incorporating new data, methods, and technology updates. - Prepare clear, concise documentation and presentations of research outcomes for stakeholders. Required Skills: - Advanced programming proficiency in Python; experience with additional languages such as C++ or Java preferred. - Strong statistical and probability expertise, including time‑series analysis techniques. - Proficiency in handling large datasets (e.g., SQL, Pandas, data pipelines). - Ability to translate theoretical research into practical, scalable trading solutions. - Excellent analytical problem‑solving skills and attention to detail. - Commercial mindset with a focus on performance and measurable impact. - Effective communication and collaboration abilities across technical and non‑technical teams. Required Education & Certifications: - Bachelor’s or Master’s degree in a quantitative discipline (Mathematics, Physics, Computer Science, Engineering) or equivalent professional experience. - Relevant certifications (e.g., CFA, FRM) are a plus but not mandatory.

London, United kingdom

On site

06-02-2026