Quantitative Researcher — Systematic Equities — Phoenix

This fully remote Quantitative Researcher — Systematic Equities opening serves Phoenix, AZ and will develop and test systematic equity research across sectors, factors, and changing market regimes. Applicants must be based in the Phoenix, AZ area. The position adds year-round Mountain Standard Time coverage as national clock alignments change.

Compensation and Benefits

About the Role

This opening gives the Phoenix, AZ hire responsibility for a falsifiable research idea from point-in-time data construction through out-of-sample evaluation, with operating coverage focused on year-round Mountain Standard Time coverage as national clock alignments change. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

Phoenix Operating Focus

The Phoenix opening emphasizes explicit handoff rules during daylight-saving changes and dependable afternoon review. Arizona does not observe daylight-saving time, so the relationship between local hours and other U.S. teams changes during the year. This opening owns a written clock-change checklist for meetings, market events, alerts, and shift transfers. The objective is simple: no missed review or unclear owner because another region moved its clock. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during year-round Mountain Standard Time coverage as national clock alignments change.

First Review Cycle

The initial Phoenix, AZ review combines year-round Mountain Standard Time coverage as national clock alignments change with a controlled examination of equity-signal validation, sector diagnostics, and regime review. Each material observation needs a source, a time, and a defined owner. The operating test starts with this task: Test signal stability, turnover, capacity, and transaction-cost sensitivity. It continues with this task: Run walk-forward and out-of-sample evaluation. The Phoenix opening emphasizes explicit handoff rules during daylight-saving changes and dependable afternoon review. The findings must distinguish confirmed evidence from an early explanation. The review closes only after another specialist can reproduce the key checks and identify the evidence behind the outcome for 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 year-round Mountain Standard Time coverage as national clock alignments change.

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 Phoenix, AZ 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 Phoenix, AZ 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.