Quantitative Researcher — Systematic Equities — Sacramento

Anemoi Predictive Technology LLC.; Sacramento (CA); Hybrid; USD 175,000 - 245,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

401(k) with company matching

Flexible paid time off

Company holidays

Paid parental leave

Paid caregiver leave

Learning and development budget

Remote-work equipment and home-office支

Performance bonus and equity based on

Job summary

Anemoi Predictive Technology LLC is recruiting a fully remote Quantitative Researcher focused on systematic equities. The role requires residency in the Sacramento, CA area and involves Pacific Time monitoring of policy-sensitive events, U.S. market close, and after-hours review.

Base salary ranges from $175,000 to $245,000 USD, with performance bonus and equity eligibility. Candidates should have 3+ years in quantitative research, strong Python and SQL skills, and a solid understanding of

Qualifications

• Three or more years in quantitative research, data science, or systematic investing.
• Proficiency in Python and SQL with strong probability and statistics.
• Clear understanding of backtest bias and model validation.

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 Pacific Time monitoring of policy-sensitive events, the U.S. close, and after-hours review.

Skills

Quantitative research

Python

SQL

Probability & statistics

Backtest bias

Model validation

Job description

This fully remote Quantitative Researcher — Systematic Equities opening serves Sacramento, CA and will develop and test systematic equity research across sectors, factors, and changing market regimes. Applicants must be based in the Sacramento, CA area. The position adds Pacific Time monitoring of policy-sensitive events, the U.S. close, and after-hours review.

Compensation and Benefits

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

About the Role

The Sacramento, CA position owns a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. Its working schedule covers Pacific Time monitoring of policy-sensitive events, the U.S. close, and after-hours review. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

Sacramento Operating Focus

The Sacramento opening emphasizes source discipline, event-risk controls, and careful documentation of assumptions. Policy-sensitive events require careful source control and a clear record of what was known at each time. This opening reviews late-session behavior without implying that price proves a specific cause. After-hours analysis separates immediate operating needs from research questions that deserve a slower and more complete test. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Pacific Time monitoring of policy-sensitive events, the U.S. close, and after-hours review.

First Review Cycle

The first review cycle for Sacramento, CA starts with Pacific Time monitoring of policy-sensitive events, the U.S. close, and after-hours review. It will establish a measured baseline for equity-signal validation, sector diagnostics, and regime review before the team proposes an operating change. 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 Sacramento opening emphasizes source discipline, event-risk controls, and careful documentation of assumptions. The findings must distinguish confirmed evidence from an early explanation. The closing summary must show whether the evidence supports a change or only further study. It must let another specialist evaluate a falsifiable research idea from point-in-time data construction through out-of-sample evaluation without private context.

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 Pacific Time monitoring of policy-sensitive events, the U.S. close, and after-hours 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 Sacramento, CA 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.