Quantitative Developer — Research Systems — San Diego

This fully remote Quantitative Developer — Research Systems opening serves San Diego, CA and will build the research platform used to create reproducible market studies at scale. Applicants must be based in the San Diego, CA area. The position adds Pacific Time coverage of late-session liquidity and post-close validation.

Compensation and Benefits

About the Role

The San Diego, CA position owns research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. Its working schedule covers Pacific Time coverage of late-session liquidity and post-close validation. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

San Diego Operating Focus

The San Diego opening emphasizes careful West Coast review and complete handoffs for the next trading day. This opening concentrates on the later part of the U.S. session, when liquidity can change quickly around the close. It also reviews after-hours results and system behavior before the next day begins. Written handoffs must separate completed work, active risk, and research questions that do not require an immediate trading response. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Pacific Time coverage of late-session liquidity and post-close validation.

First Review Cycle

During the initial operating review in San Diego, CA, you will examine research-platform reliability, experiment lineage, and large time-series workloads while the assigned schedule covers Pacific Time coverage of late-session liquidity and post-close validation. Normal controls remain in force throughout the review. 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 San Diego opening emphasizes careful West Coast review and complete handoffs for the next trading day. The findings must distinguish confirmed evidence from an early explanation. The final note will connect the outcome to research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads and give another specialist enough detail to challenge the decision without a separate meeting.

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 Pacific Time coverage of late-session liquidity and post-close validation.

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 Diego, CA 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 Diego, CA 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.