Quantitative Developer — Research Systems — San Francisco

The San Francisco, CA opening for a Quantitative Developer — Research Systems is fully remote and restricted to applicants in that area. Its mandate is to build the research platform used to create reproducible market studies at scale while providing Pacific Time coverage of late-session behavior, system performance, and research handoffs.

Compensation and Benefits

About the Role

In this San Francisco, CA role, you will be accountable for research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads while supporting Pacific Time coverage of late-session behavior, system performance, and research handoffs. The work requires direct communication, explicit limits, and records that remain useful after market conditions change.

San Francisco Operating Focus

The San Francisco opening emphasizes strong quantitative engineering links and critical review before production change. The work combines quantitative review with production discipline during the final hours of the U.S. session. System behavior, data quality, and market evidence are assessed separately before a change is proposed. After the close, the opening prepares technical findings that Eastern Time colleagues can evaluate before the next market day. 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 behavior, system performance, and research handoffs.

First Review Cycle

Your first documented cycle for the San Francisco, CA opening will test the operating process for research-platform reliability, experiment lineage, and large time-series workloads during Pacific Time coverage of late-session behavior, system performance, and research handoffs. The objective is a reproducible baseline, not a quick narrative. The operating test starts with this task: Improve experiment tracking, lineage, and reproducibility. It continues with this task: Optimize large time-series workloads. The San Francisco opening emphasizes strong quantitative engineering links and critical review before production change. The findings must distinguish confirmed evidence from an early explanation. The review is complete when a peer can reproduce the evidence, inspect the decision limit, and trace the outcome through 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 Pacific Time coverage of late-session behavior, system performance, and research handoffs.

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 Francisco, 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 Francisco, 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.