Quantitative Developer — Research Systems — Washington

Anemoi is hiring a fully remote Quantitative Developer — Research Systems based in the Washington, DC area to build the research platform used to create reproducible market studies at scale. The opening is designed for Eastern Time monitoring of market events, policy-sensitive sessions, and close review.

Compensation and Benefits

About the Role

This opening gives the Washington, DC hire responsibility for research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads, with operating coverage focused on Eastern Time monitoring of market events, policy-sensitive sessions, and close review. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

Washington Operating Focus

The Washington opening emphasizes careful treatment of event risk, source quality, and documented decision limits. Scheduled policy events and unexpected public announcements can change market conditions quickly. This opening verifies source timing, separates confirmed information from interpretation, and avoids treating a headline as proof of a durable regime. Event procedures define exposure checks, communication order, and the point when normal operations resume. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Eastern Time monitoring of market events, policy-sensitive sessions, and close review.

First Review Cycle

For the first complete work cycle in Washington, DC, you will use Eastern Time monitoring of market events, policy-sensitive sessions, and close 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: Optimize large time-series workloads. It also includes this task: Add tests that detect leakage and inconsistent data vintages. The Washington opening emphasizes careful treatment of event risk, source quality, and documented decision limits. A peer will review both results from the same source data. 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 Eastern Time monitoring of market events, policy-sensitive sessions, 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 Washington, DC 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 Washington, DC 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.