Quantitative Developer — Research Systems — Denver

This Denver, CO-based, fully remote Quantitative Developer — Research Systems position will build the research platform used to create reproducible market studies at scale. Applicants must live in the local area, which gives the team Mountain Time coverage that connects early market review with late-session supervision.

Compensation and Benefits

About the Role

The central responsibility of the Denver, CO opening is research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. The assigned window includes Mountain Time coverage that connects early market review with late-session supervision. Success requires reproducible work, prompt escalation, and clear ownership through review and production use.

Denver Operating Focus

The Denver opening emphasizes consistent cross-time-zone ownership and timely escalation without rushed decisions. Mountain Time creates direct overlap with early Eastern decisions and later Pacific review. This opening uses that position to prevent issues from falling between regional schedules. A handoff is accepted only when the current state, time sensitivity, responsible person, and next verification step are all clear. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Mountain Time coverage that connects early market review with late-session supervision.

First Review Cycle

The Denver, CO opening begins with an end-to-end review of research-platform reliability, experiment lineage, and large time-series workloads during Mountain Time coverage that connects early market review with late-session supervision. The review will keep research observations separate from live production decisions. One required check is: Add tests that detect leakage and inconsistent data vintages. The next required check is: Develop reusable data and backtest infrastructure. The Denver opening emphasizes consistent cross-time-zone ownership and timely escalation without rushed decisions. You will identify any assumption that remains untested after both checks. 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 Mountain Time coverage that connects early market review with late-session supervision.

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 Denver, CO 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 Denver, CO 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.