Quantitative Researcher — Systematic Equities — Detroit

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

Benefits offered by this job

Medical, dental, and vision plan

401(k) plan with company matching

Flexible paid time off and companyholi

Paid parental and caregiver leave

Annual learning, conference, and pro‑f

Remote-work equipment and home-office

Performance-bonus and equity

Job summary

Anemoi Predictive Technology LLC in Detroit, MI is seeking a Quantitative Researcher — Systematic Equities to develop and test systematic equity research across sectors, factors, and changing market regimes while providing Eastern Time monitoring of cyclical market conditions and the complete cash session.

The role emphasizes falsifiable research from point-in-time data construction through out-of-sample evaluation, with ownership and reproducibility.

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.

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 Eastern Time monitoring of cyclical market conditions and the complete cash session.

Skills

Python

SQL

Probability & stats

Job description

The Detroit, MI opening for a Quantitative Researcher — Systematic Equities is fully remote and restricted to applicants in that area. Its mandate is to develop and test systematic equity research across sectors, factors, and changing market regimes while providing Eastern Time monitoring of cyclical market conditions and the complete cash session.

Compensation and Benefits

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

About the Role

The central responsibility of the Detroit, MI opening is a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. The assigned window includes Eastern Time monitoring of cyclical market conditions and the complete cash session. Success requires reproducible work, prompt escalation, and clear ownership through review and production use.

Detroit Operating Focus

The Detroit opening emphasizes regime awareness, operational resilience, and practical analysis under changing conditions. Cyclical changes can make a relationship appear stable during one period and fail in another. This opening keeps regime assumptions visible and tests decisions under weaker conditions. The operating process also favors resilient controls that continue to work during high volume, missing data, or a sudden change in market behavior. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Eastern Time monitoring of cyclical market conditions and the complete cash session.

First Review Cycle

During the initial operating review in Detroit, MI, you will examine equity-signal validation, sector diagnostics, and regime review while the assigned schedule covers Eastern Time monitoring of cyclical market conditions and the complete cash session. Normal controls remain in force throughout the review. The evidence package includes this task: Run walk-forward and out-of-sample evaluation. It also includes this task: Present both favorable and unfavorable results to the investment team. The Detroit opening emphasizes regime awareness, operational resilience, and practical analysis under changing conditions. 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 Eastern Time monitoring of cyclical market conditions and the complete cash session.

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 Detroit, MI 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.