Quantitative Researcher — Systematic Equities — Columbus

Based in the Columbus, OH area, this fully remote Quantitative Researcher — Systematic Equities will develop and test systematic equity research across sectors, factors, and changing market regimes. The operating schedule centers on Eastern Time monitoring with a balanced schedule for research and live-market review.

Compensation and Benefits

About the Role

The Columbus, OH position owns a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. Its working schedule covers Eastern Time monitoring with a balanced schedule for research and live-market review. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

Columbus Operating Focus

The Columbus opening emphasizes steady operating cadence, transparent analysis, and durable cross-team processes. The schedule protects separate blocks for deep research, live observation, and review of production outcomes. That separation helps prevent a noisy session from rewriting a research conclusion without evidence. The opening also maintains a compact decision log so specialists in other locations can understand changes without another meeting. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Eastern Time monitoring with a balanced schedule for research and live-market review.

First Review Cycle

Your first documented cycle for the Columbus, OH opening will test the operating process for equity-signal validation, sector diagnostics, and regime review during Eastern Time monitoring with a balanced schedule for research and live-market review. The objective is a reproducible baseline, not a quick narrative. The operating test starts with this task: Present both favorable and unfavorable results to the investment team. It continues with this task: Form hypotheses and build clean point-in-time equity datasets. The Columbus opening emphasizes steady operating cadence, transparent analysis, and durable cross-team processes. The findings must distinguish confirmed evidence from an early explanation. 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 Eastern Time monitoring with a balanced schedule for research and live-market review.

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 Columbus, OH 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 Columbus, OH 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.