Remote Quantitative Researcher, Systematic Equities

Anemoi Predictive Technology LLC.; Portland (OR); Hybrid; USD 175,000 - 245,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan with company matching

Flexible paid time off

Parental and caregiver leave

Learning budget for conferences and发展

Remote-work equipment

Job summary

Anemoi Predictive Technology LLC. in Portland, OR is seeking a Quantitative Researcher for Systematic Equities. The role is fully remote, with Pacific Time supervision of late-session research delivery and asynchronous collaboration.

You will formulate falsifiable hypotheses, build point-in-time equity datasets, test signals, and run walk-forward evaluations, with emphasis on clear documentation and reproducible results. 3+ years in quantitative research and strong Python/SQL skills are required.

Qualifications

• 3+ years in quantitative research, data science, or systematic investing.
• Strong probability and statistics background.
• Experience with backtesting 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 supervision of late-session behavior and asynchronous research delivery.

Skills

Python

SQL

Probability & statistics

Backtest bias

Model validation

Job description

Anemoi Predictive Technology LLC. in Portland, OR is seeking a Quantitative Researcher for Systematic Equities. The role is fully remote, with Pacific Time supervision of late-session research delivery and asynchronous collaboration.

You will formulate falsifiable hypotheses, build point-in-time equity datasets, test signals, and run walk-forward evaluations, with emphasis on clear documentation and reproducible results. 3+ years in quantitative research and strong Python/SQL skills are required.