Remote Quantitative Researcher — Systematic Equities

Anemoi Predictive Technology LLC.; San Francisco (CA); Remote; USD 175,000 - 245,000; Full time

Benefits offered by this job

Medical, dental, vision plans

401(k) with company matching

Remote-work equipment & home-office支持

Learning & development budget

Bonus and equity eligibility

Job summary

Anemoi Predictive Technology LLC. seeks a Quantitative Researcher to develop and test systematic equity research across sectors, factors, and market regimes.

This fully remote role requires SF-area base for timezone considerations and entails end-to-end research from data construction to out-of-sample evaluation. You will connect research, engineering, trading, and risk, ensuring transparent uncertainty and operational tradeoffs while delivering rigorous equity-signal validation and regime

Qualifications

• Three or more years in quantitative research, data science, or systematic investing.
• Python and SQL proficiency with strong probability and statistics.
• Clear understanding of backtest bias and model validation.

Responsibilities

• Form hypotheses and build clean point-in-time equity datasets.
• Test signal stability, turnover, capacity, and transaction-cost sensitivity.
• Run walk-forward and out-of-sample evaluation.
• Present both favorable and unfavorable results to the investment team.
• Own equity-signal validation, sector diagnostics, and regime review during Pacific Time coverage of late-session behavior, system performance, and research handoffs.

Skills

Quantitative research

Data science

Systematic investing

Tools

Python

SQL

Job description

Anemoi Predictive Technology LLC. seeks a Quantitative Researcher to develop and test systematic equity research across sectors, factors, and market regimes.

This fully remote role requires SF-area base for timezone considerations and entails end-to-end research from data construction to out-of-sample evaluation. You will connect research, engineering, trading, and risk, ensuring transparent uncertainty and operational tradeoffs while delivering rigorous equity-signal validation and regime