Quantitative Researcher — Systematic Equities — New York

Anemoi is hiring a fully remote Quantitative Researcher — Systematic Equities based in the New York, NY area to develop and test systematic equity research across sectors, factors, and changing market regimes. The opening is designed for early U.S. market preparation and the full Eastern Time cash session.

Compensation and Benefits

About the Role

This opening gives the New York, NY hire responsibility for a falsifiable research idea from point-in-time data construction through out-of-sample evaluation, with operating coverage focused on early U.S. market preparation and the full Eastern Time cash session. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

New York Operating Focus

The New York opening emphasizes fast morning escalation, precise market-open review, and complete end-of-day records. Daily work begins before the cash open with overnight-gap review, scheduled-event checks, and clear escalation ownership. Opening and closing auctions receive separate analysis because each can create different liquidity and execution conditions. Post-close records must explain what changed, what remained uncertain, and which issue carries into the next session. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during early U.S. market preparation and the full Eastern Time cash session.

First Review Cycle

For the first complete work cycle in New York, NY, you will use early U.S. market preparation and the full Eastern Time cash session to test how the team measures and escalates changes in equity-signal validation, sector diagnostics, and regime review. One required check is: Test signal stability, turnover, capacity, and transaction-cost sensitivity. The next required check is: Run walk-forward and out-of-sample evaluation. The New York opening emphasizes fast morning escalation, precise market-open review, and complete end-of-day records. You will identify any assumption that remains untested after both checks. The review is complete when a peer can reproduce the evidence, inspect the decision limit, and trace the outcome through a falsifiable research idea from point-in-time data construction through out-of-sample evaluation.

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 early U.S. market preparation and the full Eastern Time cash session.

Required 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

Preferred Qualifications

• Experience with equity factors, corporate actions, and point-in-time fundamentals
• A record of moving research into monitored production use
• Experience collaborating across time zones while maintaining the operating coverage assigned to the New York, NY opening.

Benefits

• Medical, dental, and vision plan options with substantial company support
• 401(k) plan with company matching
• Flexible paid time off and company holidays
• Paid parental and caregiver leave
• Annual learning, conference, and professional-development budget
• Remote-work equipment and home-office support
• Performance-bonus and equity eligibility based on role and level

Benefits are subject to plan terms and eligibility requirements.

How to Apply

Submit a current resume through the application form for the New York, NY opening. A short cover letter is optional. We will contact qualified applicants about the interview process and next steps.

Equal Opportunity

Anemoi provides equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other status protected by applicable law.