Based in the Chicago, IL area, this fully remote Quantitative Researcher — Systematic Equities will develop and test systematic equity research across sectors, factors, and changing market regimes. The operating schedule centers on Central Time coordination across cash equities, listed derivatives, and both coastal schedules.
Compensation and Benefits
Base salary: $175,000–$245,000 USD, based on experience
Work arrangement: Fully remote; applicants must be based in the Chicago, IL area
Experience: 3+ years
Additional compensation: Performance-bonus and equity eligibility based on role and level
About the Role
The Chicago, IL position owns a falsifiable research idea from point-in-time data construction through out-of-sample evaluation. Its working schedule covers Central Time coordination across cash equities, listed derivatives, and both coastal schedules. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.
Chicago Operating Focus
The Chicago opening emphasizes derivatives-aware review, pre-open preparation, and controlled live-market escalation. The Central Time window connects overnight futures behavior, the equity open, listed-derivative activity, and the afternoon cash close in one working day. The role must separate information that transfers across instruments from relationships that only appear during a short regime. Any production response needs an owner, a limit, and a review time. For this role, that means direct ownership of equity-signal validation, sector diagnostics, and regime review during Central Time coordination across cash equities, listed derivatives, and both coastal schedules.
First Review Cycle
The first review cycle for Chicago, IL starts with Central Time coordination across cash equities, listed derivatives, and both coastal schedules. It will establish a measured baseline for equity-signal validation, sector diagnostics, and regime review before the team proposes an operating change. 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 Chicago opening emphasizes derivatives-aware review, pre-open preparation, and controlled live-market escalation. A peer will review both results from the same source data. The final note will connect the outcome to a falsifiable research idea from point-in-time data construction through out-of-sample evaluation and give another specialist enough detail to challenge the decision without a separate meeting.
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 Central Time coordination across cash equities, listed derivatives, and both coastal 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 Chicago, IL 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.