Senior Quant Researcher — AI-Driven Systematic Equity

Selby Jennings; San Francisco (CA); On-site; USD 220,000 - 300,000; Full time

Benefits offered by this job

Meaningful equity

Job summary

Selby Jennings is seeking a senior quantitative researcher to define and encode what good research judgment looks like. This AI-native, market-neutral equity fund emphasizes producing alpha with rigorous backtesting and live deployment.

You will own end-to-end research—from idea generation to production and monitoring—while shaping research systems and decisions about data sources, datasets, and models. Equity is foundational, with meaningful ownership in the venture-backed venture.

Qualifications

• PhD or equivalent demonstrated experience in a quantitative field.
• 7+ years of quantitative research experience at one or more firms.
• Experience researching strategies that traded meaningful capital in live markets.
• Broad exposure across alpha research, risk modeling, and portfolio construction.
• Strong statistical judgment and understanding of overfitting in financial research.
• Comfortable owning research end-to-end in Python.

Responsibilities

• Find new sources of alpha across different time horizons and data types.
• Improve portfolio risk measurement and build checks to identify problems early.
• Refine portfolio construction and identify unintended effects of assumptions.
• Decide which datasets are worth buying or building.
• Take research from idea through testing, production, and ongoing monitoring.
• Write clear research reports that explain findings and influence decisions.

Skills

Python

Quantitative research

Statistical judgment

Alpha research

Risk modeling

Portfolio construction

Data sources

Education

PhD in mathematics, statistics, physics, or computer science

Job description

Selby Jennings is seeking a senior quantitative researcher to define and encode what good research judgment looks like. This AI-native, market-neutral equity fund emphasizes producing alpha with rigorous backtesting and live deployment.

You will own end-to-end research—from idea generation to production and monitoring—while shaping research systems and decisions about data sources, datasets, and models. Equity is foundational, with meaningful ownership in the venture-backed venture.