Quantitative Developer — Research Systems — Sacramento

The Sacramento, 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 monitoring of policy-sensitive events, the U.S. close, and after-hours review.

Compensation and Benefits

About the Role

The central responsibility of the Sacramento, CA opening is research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. The assigned window includes Pacific Time monitoring of policy-sensitive events, the U.S. close, and after-hours review. Success requires reproducible work, prompt escalation, and clear ownership through review and production use.

Sacramento Operating Focus

The Sacramento opening emphasizes source discipline, event-risk controls, and careful documentation of assumptions. Policy-sensitive events require careful source control and a clear record of what was known at each time. This opening reviews late-session behavior without implying that price proves a specific cause. After-hours analysis separates immediate operating needs from research questions that deserve a slower and more complete test. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Pacific Time monitoring of policy-sensitive events, the U.S. close, and after-hours review.

First Review Cycle

For the first complete work cycle in Sacramento, CA, you will use Pacific Time monitoring of policy-sensitive events, the U.S. close, and after-hours review to test how the team measures and escalates changes in research-platform reliability, experiment lineage, and large time-series workloads. The evidence package includes this task: Add tests that detect leakage and inconsistent data vintages. It also includes this task: Develop reusable data and backtest infrastructure. The Sacramento opening emphasizes source discipline, event-risk controls, and careful documentation of assumptions. A peer will review both results from the same source data. 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 Pacific Time monitoring of policy-sensitive events, the U.S. close, and after-hours 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 Sacramento, 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 Sacramento, 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.