Quantitative Developer — Research Systems — Detroit

This fully remote Quantitative Developer — Research Systems opening serves Detroit, MI and will build the research platform used to create reproducible market studies at scale. Applicants must be based in the Detroit, MI area. The position adds Eastern Time monitoring of cyclical market conditions and the complete cash session.

Compensation and Benefits

About the Role

This opening gives the Detroit, MI hire responsibility for research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads, with operating coverage focused on Eastern Time monitoring of cyclical market conditions and the complete cash session. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

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 research-platform reliability, experiment lineage, and large time-series workloads during Eastern Time monitoring of cyclical market conditions and the complete cash session.

First Review Cycle

The initial Detroit, MI review combines Eastern Time monitoring of cyclical market conditions and the complete cash session with a controlled examination of research-platform reliability, experiment lineage, and large time-series workloads. Each material observation needs a source, a time, and a defined owner. One required check is: Optimize large time-series workloads. The next required check is: Add tests that detect leakage and inconsistent data vintages. The Detroit opening emphasizes regime awareness, operational resilience, and practical analysis under changing conditions. You will identify any assumption that remains untested after both checks. The final record separates completed work, open research, and live operating risk. A reviewer must be able to trace each material decision to 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 Eastern Time monitoring of cyclical market conditions and the complete cash session.

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 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.

How to Apply

Submit a current resume through the application form for the Detroit, MI 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.