Quantitative Developer — Research Systems — Chicago

From Chicago, IL, the fully remote Quantitative Developer — Research Systems will build the research platform used to create reproducible market studies at scale. This opening is limited to applicants based in the Chicago, IL area and provides Central Time coordination across cash equities, listed derivatives, and both coastal schedules.

Compensation and Benefits

About the Role

The central responsibility of the Chicago, IL opening is research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. The assigned window includes Central Time coordination across cash equities, listed derivatives, and both coastal schedules. Success requires reproducible work, prompt escalation, and clear ownership through review and production use.

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 research-platform reliability, experiment lineage, and large time-series workloads during Central Time coordination across cash equities, listed derivatives, and both coastal schedules.

First Review Cycle

For the first complete work cycle in Chicago, IL, you will use Central Time coordination across cash equities, listed derivatives, and both coastal schedules to test how the team measures and escalates changes in research-platform reliability, experiment lineage, and large time-series workloads. One required check is: Add tests that detect leakage and inconsistent data vintages. The next required check is: Develop reusable data and backtest infrastructure. The Chicago opening emphasizes derivatives-aware review, pre-open preparation, and controlled live-market escalation. You will identify any assumption that remains untested after both checks. The review is complete when a peer can reproduce the evidence, inspect the decision limit, and trace the outcome through research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads.

Responsibilities

• Develop reusable data and backtest infrastructure
• Improve experiment tracking, lineage, and reproducibility
• Optimize large time-series workloads
• Add tests that detect leakage and inconsistent data vintages
• Own research-platform reliability, experiment lineage, and large time-series workloads during Central Time coordination across cash equities, listed derivatives, and both coastal schedules.

Required Qualifications

• Production Python and SQL experience
• Strong knowledge of distributed data systems and numerical workloads
• Experience supporting quantitative researchers

Preferred Qualifications

• Experience with workflow orchestration, columnar data, and cloud research environments
• A record of improving speed without weakening correctness or auditability
• 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.

How to Apply

Submit a current resume through the application form for the Chicago, IL opening. A short cover letter is optional. We will contact qualified applicants about the interview process and next steps.

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.