
Systematic Researcher – Global Hedge Fund (4–6 Years’ Experience)/ London £ High
Why this role stands out
This hybrid role offers exceptional career growth and the opportunity to develop cutting-edge skills in systematic strategy research at a globally renowned hedge fund with a highly collaborative culture. You'll thrive here if you possess a strong quantitative background, a passion for uncovering alpha through data and machine learning, and a desire to make a significant impact within a supportive and intellectually stimulating environment.
Quick overview
Job description
What You’ll Do:
- Conduct end-to-end research on systematic strategies across liquid asset classes (equities, futures, FX, or rates).
- Leverage large datasets, machine learning techniques, and advanced statistical modelling to uncover persistent sources of alpha.
- Collaborate closely with other researchers, portfolio managers, and technologists in a highly integrative research culture.
- Iterate and improve signal construction, portfolio optimization, and risk models with access to world-class infrastructure and tooling.
What We’re Looking For:
- 4–6 years of systematic research experience at a top collaborative hedge fund (e.g., Two Sigma, AQR, PDT, etc.).
- Deep expertise in alpha signal research, with a proven track record of contributions to production strategies.
- Strong programming skills in Python (or similar), and comfort working with large, noisy datasets.
- A highly analytical mindset with fluency in statistics, probability, and time-series analysis.
- Advanced degree (Master’s or PhD) in a quantitative discipline preferred, but not required.
Why This Role:
- Join a high-conviction, low-politics team that values idea meritocracy and intellectual honesty .
- Work alongside researchers and PMs who are genuinely collaborative — not siloed or secretive.
- Access deep resources and institutional-grade infrastructure to bring ideas to life quickly and at scale.
- Significant upside and career growth for researchers who drive real impact.
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