Quantitative Developer — Research Systems — Los Angeles

This fully remote Quantitative Developer — Research Systems opening serves Los Angeles, CA and will build the research platform used to create reproducible market studies at scale. Applicants must be based in the Los Angeles, CA area. The position adds Pacific Time coverage of the U.S. close and the after-hours research handoff.

Compensation and Benefits

About the Role

This opening gives the Los Angeles, CA hire responsibility for research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads, with operating coverage focused on Pacific Time coverage of the U.S. close and the after-hours research handoff. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

Los Angeles Operating Focus

The Los Angeles opening emphasizes clean transfers from East Coast decisions into late-session and post-close analysis. The schedule gives this opening direct ownership of the closing auction, late-session liquidity changes, and earnings or corporate events released after the U.S. close. Morning overlap with Eastern Time is reserved for decisions that need live discussion. Later work must leave a complete record for the next pre-market review. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Pacific Time coverage of the U.S. close and the after-hours research handoff.

First Review Cycle

During the initial operating review in Los Angeles, CA, you will examine research-platform reliability, experiment lineage, and large time-series workloads while the assigned schedule covers Pacific Time coverage of the U.S. close and the after-hours research handoff. Normal controls remain in force throughout the review. The evidence package includes this task: Optimize large time-series workloads. It also includes this task: Add tests that detect leakage and inconsistent data vintages. The Los Angeles opening emphasizes clean transfers from East Coast decisions into late-session and post-close analysis. A peer will review both results from the same source data. Before the review closes, you will state what changed, what did not change, and what needs more evidence. A peer must be able to follow the result 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 coverage of the U.S. close and the after-hours research handoff.

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 Los Angeles, 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 Los Angeles, 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.