Equity Stat Arb Researcher
Quantitative Researcher - Market Neutral / Statistical Arbitrage (Equities) | Paris
Overview
We are working with a leading systematic hedge fund based in Paris that is seeking to hire a Quantitative Researcher focused on market neutral and statistical arbitrage strategies within equities.
The firm operates a highly advanced, systematic research platform with strong infrastructure, clear risk frameworks, and significant capital backing. This role offers the opportunity to contribute directly to alpha generation within a structured and scalable environment.
Role Responsibilities
- Design, develop, and optimise systematic equity strategies, with a focus on market neutral / statistical arbitrage approaches
- Conduct deep quantitative research across large datasets and cross‑sectional signals
- Own the full research lifecycle, from idea generation and backtesting to deployment and live monitoring
- Collaborate with engineering teams to enhance data infrastructure, model implementation, and execution pipelines
- Continuously evaluate and refine strategies based on live performance data
Required Experience
- 2+ years of experience in quantitative research within a hedge fund or proprietary trading environment
- Experience developing systematic equity strategies, ideally within market neutral or stat arb frameworks
- Strong programming skills (Python, C++, or similar)
- Solid foundation in statistics, probability, and quantitative modelling
- Experience working across the full strategy lifecycle
- Demonstrated ability to deliver alpha‑generating research
Preferred Qualifications
- Prior experience at a tier 1 or tier 2 hedge fund or trading firm
- Exposure to portfolio construction and risk modelling
- Trading experience or strategy ownership
Why Apply
- Join a high‑performing hedge fund with best‑in‑class infrastructure
- Access to strong capital allocation and defined risk frameworks
- Opportunity to contribute to a core alpha‑generating function
- Work within a collaborative, research‑driven environment
- Long‑term platform stability with scope to scale strategies
If you are interested in learning more, please apply directly or contact:
Jonathan Ekoh -
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