Anemoi is hiring a fully remote Quantitative Researcher — Systematic Equities based in the Denver, CO area to develop and test systematic equity research across sectors, factors, and changing market regimes. The opening is designed for Mountain Time coverage that connects early market review with late-session supervision.

Compensation and Benefits

Base salary: $175,000–$245,000 USD, based on experience Work arrangement: Fully remote; applicants must be based in the Denver, CO area Experience: 3+ years Additional compensation: Performance-bonus and equity eligibility based on role and level

About the Role

The Denver, CO position owns a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. Its working schedule covers Mountain Time coverage that connects early market review with late-session supervision. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision. Denver Operating Focus The Denver opening emphasizes consistent cross-time-zone ownership and timely escalation without rushed decisions. Mountain Time creates direct overlap with early Eastern decisions and later Pacific review. This opening uses that position to prevent issues from falling between regional schedules. A handoff is accepted only when the current state, time sensitivity, responsible person, and next verification step are all clear. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Mountain Time coverage that connects early market review with late-session supervision. First Review Cycle In Denver, CO, the first formal review will assess equity-signal validation, sector diagnostics, and regime review under the normal controls used for Mountain Time coverage that connects early market review with late-session supervision. Any proposed response must remain within an approved limit. The evidence package includes this task: Present both favorable and unfavorable results to the investment team. It also includes this task: Form hypotheses and build clean point-in-time equity datasets. The Denver opening emphasizes consistent cross-time-zone ownership and timely escalation without rushed decisions. A peer will review both results from the same source data. 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 Mountain Time coverage that connects early market review with late-session supervision.

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 Denver, CO 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.