Senior Quant Researcher, AI-Native Systematic Equity Fund
We are working with an AI-native, market-neutral equity fund that has taken a different approach to growth. Instead of simply scaling headcount, the firm is building AI that can run large parts of the quantitative research process itself. This is already being used in production today, rather than sitting on a future roadmap.
The firm is now looking to take this further by hiring a senior quantitative researcher who can help define and encode what good research judgment looks like.
This is a small, flat organization offering meaningful equity. They want someone senior enough to understand which signals genuinely hold up, which backtests may be overfit, where risk models can break down, and where the market is truly inefficient rather than simply noisy. That judgment will help shape the research systems the firm builds going forward.
What you'll work on:
- Finding new sources of alpha across different time horizons and data types
- Improving how portfolio risk is measured and building checks that identify problems before they impact performance
- Refining portfolio construction and optimization, including identifying assumptions or constraints that may be having unintended effects
- Helping decide which datasets are worth buying or building
- Taking research from initial idea through testing, production, and ongoing monitoring
- Writing clear research reports that explain your findings and influence investment decisions
Who they want:
- PhD in mathematics, statistics, physics, computer science, or a similarly quantitative discipline, or equivalent demonstrated experience
- 7+ years of quantitative research experience, ideally across more than one firm
- Experience researching strategies that have traded meaningful capital in live markets
- Broad exposure across alpha research, risk modeling, and portfolio construction, rather than expertise in only one narrow area
- Strong statistical judgment and a clear understanding of how overfitting occurs in financial research
- Strong written communication skills
- Comfortable owning research end to end in Python
Nice to have:
Experience in systeamatic equity research and portfolio management.
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