This Tucson, AZ-based, fully remote Quantitative Researcher — Systematic Equities position will develop and test systematic equity research across sectors, factors, and changing market regimes. Applicants must live in the local area, which gives the team year-round Mountain Standard Time coverage through changing national market schedules.

Compensation and Benefits

Base salary: $175,000–$245,000 USD, based on experience Work arrangement: Fully remote; applicants must be based in the Tucson, AZ area Experience: 3+ years Additional compensation: Performance-bonus and equity eligibility based on role and level About the Role The central responsibility of the Tucson, AZ opening is a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. The assigned window includes year-round Mountain Standard Time coverage through changing national market schedules. Success requires reproducible work, prompt escalation, and clear ownership through review and production use. Tucson Operating Focus The Tucson opening emphasizes consistent clock controls, well-timed handoffs, and reliable post-session review. Because Arizona keeps the same local clock all year, meeting and market relationships shift when other regions change time. The opening maintains tested schedules for data arrival, event review, and escalation coverage. Each clock transition is treated as an operating change with an owner, checklist, and confirmation after the first market day. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during year-round Mountain Standard Time coverage through changing national market schedules. First Review Cycle For the first complete work cycle in Tucson, AZ, you will use year-round Mountain Standard Time coverage through changing national market schedules to test how the team measures and escalates changes in equity-signal validation, sector diagnostics, and regime review. The operating test starts with this task: Run walk-forward and out-of-sample evaluation. It continues with this task: Present both favorable and unfavorable results to the investment team. The Tucson opening emphasizes consistent clock controls, well-timed handoffs, and reliable post-session review. The findings must distinguish confirmed evidence from an early explanation. At the end of the cycle, you will show how the evidence supports or challenges a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. Open questions stay visible until another review resolves them.

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 through changing national market schedules.

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 Tucson, 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. 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.