Quantitative Developer — Research Systems — Oklahoma City

From Oklahoma City, OK, 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 Oklahoma City, OK area and provides Central Time oversight of cross-asset conditions and full-session operating controls.

Compensation and Benefits

About the Role

In this Oklahoma City, OK role, you will be accountable for research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads while supporting Central Time oversight of cross-asset conditions and full-session operating controls. The work requires direct communication, explicit limits, and records that remain useful after market conditions change.

Oklahoma City Operating Focus

The Oklahoma City opening emphasizes robust procedures, measured response to unusual markets, and complete follow-up. Cross-asset conditions are reviewed at set points rather than only after a large move attracts attention. When markets behave unusually, the opening first contains operational risk, then investigates causes. Follow-up work must distinguish a resolved incident from a temporary workaround and assign a date for permanent correction. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Central Time oversight of cross-asset conditions and full-session operating controls.

First Review Cycle

During the initial operating review in Oklahoma City, OK, you will examine research-platform reliability, experiment lineage, and large time-series workloads while the assigned schedule covers Central Time oversight of cross-asset conditions and full-session operating controls. Normal controls remain in force throughout the review. The operating test starts with this task: Improve experiment tracking, lineage, and reproducibility. It continues with this task: Optimize large time-series workloads. The Oklahoma City opening emphasizes robust procedures, measured response to unusual markets, and complete follow-up. The findings must distinguish confirmed evidence from an early explanation. The final handoff will name the current state, the responsible person, and the next verification step. It will preserve a clear path back 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 Central Time oversight of cross-asset conditions and full-session operating controls.

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 Oklahoma City, OK 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 Oklahoma City, OK 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.