Quantitative Developer — Research Systems — San Antonio

This San Antonio, TX-based, fully remote Quantitative Developer — Research Systems position will build the research platform used to create reproducible market studies at scale. Applicants must live in the local area, which gives the team Central Time coverage for live monitoring, afternoon investigation, and close review.

Compensation and Benefits

About the Role

The central responsibility of the San Antonio, TX opening is research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. The assigned window includes Central Time coverage for live monitoring, afternoon investigation, and close review. Success requires reproducible work, prompt escalation, and clear ownership through review and production use.

San Antonio Operating Focus

The San Antonio opening emphasizes calm incident handling and clear ownership from research through post-trade analysis. Central Time creates useful overlap with both Eastern and Pacific colleagues, but overlap does not remove the need for explicit handoffs. The opening owns midday status review, afternoon exception handling, and unresolved-issue transfer. A decision is not complete until its assumptions, limits, and next check are visible to another specialist. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Central Time coverage for live monitoring, afternoon investigation, and close review.

First Review Cycle

The initial San Antonio, TX review combines Central Time coverage for live monitoring, afternoon investigation, and close review 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. The operating test starts with this task: Add tests that detect leakage and inconsistent data vintages. It continues with this task: Develop reusable data and backtest infrastructure. The San Antonio opening emphasizes calm incident handling and clear ownership from research through post-trade analysis. The findings must distinguish confirmed evidence from an early explanation. The review closes only after another specialist can reproduce the key checks and identify the evidence behind the outcome for 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 coverage for live monitoring, afternoon investigation, and close 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 San Antonio, 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 San Antonio, 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.