Quantitative Researcher — Systematic Equities — Dallas

Based in the Dallas, TX 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 Central Time coordination of market-open decisions and cross-team risk review.

Compensation and Benefits

About the Role

This opening gives the Dallas, TX hire responsibility for a falsifiable research idea from point-in-time data construction through out-of-sample evaluation, with operating coverage focused on Central Time coordination of market-open decisions and cross-team risk review. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

Dallas Operating Focus

The Dallas opening emphasizes measurable controls, prompt escalation, and reliable links between research and production. The operating day joins pre-market readiness, live risk review, and production follow-through. This opening must make cross-team decisions measurable by recording the trigger for escalation, the person who approved the response, and the condition that ends it. Routine work should be automated only after its failure behavior is understood. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Central Time coordination of market-open decisions and cross-team risk review.

First Review Cycle

Your first documented cycle for the Dallas, TX opening will test the operating process for equity-signal validation, sector diagnostics, and regime review during Central Time coordination of market-open decisions and cross-team risk review. The objective is a reproducible baseline, not a quick narrative. The evidence package includes this task: Test signal stability, turnover, capacity, and transaction-cost sensitivity. It also includes this task: Run walk-forward and out-of-sample evaluation. The Dallas opening emphasizes measurable controls, prompt escalation, and reliable links between research and production. A peer will review both results from the same source data. The closing record identifies the evidence, approval, limit, and next test. A second specialist must be able to evaluate a falsifiable research idea from point-in-time data construction through out-of-sample evaluation from the same starting facts.

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 Central Time coordination of market-open decisions and cross-team risk 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 Dallas, TX 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 Dallas, TX 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.