Quantitative Developer — Research Systems — Houston

Anemoi is hiring a fully remote Quantitative Developer — Research Systems based in the Houston, TX area to build the research platform used to create reproducible market studies at scale. The opening is designed for Central Time monitoring of cross-asset conditions and the complete U.S. trading day.

Compensation and Benefits

About the Role

The Houston, TX position owns research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. Its working schedule covers Central Time monitoring of cross-asset conditions and the complete U.S. trading day. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

Houston Operating Focus

The Houston opening emphasizes disciplined links between market evidence, cross-asset risk, and operating decisions. Cross-asset review becomes important when energy prices, rates, currencies, and equity risk move together. The opening must test whether those links are stable enough to affect a decision or are only a temporary reaction. Research and trading records must identify the exact evidence used without turning a market story into an unsupported conclusion. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Central Time monitoring of cross-asset conditions and the complete U.S. trading day.

First Review Cycle

Your first documented cycle for the Houston, TX opening will test the operating process for research-platform reliability, experiment lineage, and large time-series workloads during Central Time monitoring of cross-asset conditions and the complete U.S. trading day. The objective is a reproducible baseline, not a quick narrative. The operating test starts with this task: Develop reusable data and backtest infrastructure. It continues with this task: Improve experiment tracking, lineage, and reproducibility. The Houston opening emphasizes disciplined links between market evidence, cross-asset risk, and operating decisions. 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 monitoring of cross-asset conditions and the complete U.S. trading day.

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 Houston, TX 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 Houston, TX 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.