Quantitative Developer — Research Systems — Columbus

From Columbus, OH, 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 Columbus, OH area and provides Eastern Time monitoring with a balanced schedule for research and live-market review.

Compensation and Benefits

About the Role

The central responsibility of the Columbus, OH opening is research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. The assigned window includes Eastern Time monitoring with a balanced schedule for research and live-market review. Success requires reproducible work, prompt escalation, and clear ownership through review and production use.

Columbus Operating Focus

The Columbus opening emphasizes steady operating cadence, transparent analysis, and durable cross-team processes. The schedule protects separate blocks for deep research, live observation, and review of production outcomes. That separation helps prevent a noisy session from rewriting a research conclusion without evidence. The opening also maintains a compact decision log so specialists in other locations can understand changes without another meeting. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Eastern Time monitoring with a balanced schedule for research and live-market review.

First Review Cycle

During the initial operating review in Columbus, OH, you will examine research-platform reliability, experiment lineage, and large time-series workloads while the assigned schedule covers Eastern Time monitoring with a balanced schedule for research and live-market review. Normal controls remain in force throughout the review. The evidence package includes this task: Add tests that detect leakage and inconsistent data vintages. It also includes this task: Develop reusable data and backtest infrastructure. The Columbus opening emphasizes steady operating cadence, transparent analysis, and durable cross-team processes. A peer will review both results from the same source data. Completion requires a repeatable evidence path, a clear response boundary, and a time for the next check. Those records must connect directly 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 with a balanced schedule for research and live-market review.

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 Columbus, OH 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 Columbus, OH 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.