Quantitative Developer — Research Systems — Phoenix

The Phoenix, AZ 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 year-round Mountain Standard Time coverage as national clock alignments change.

Compensation and Benefits

About the Role

In this Phoenix, AZ role, you will be accountable for research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads while supporting year-round Mountain Standard Time coverage as national clock alignments change. The work requires direct communication, explicit limits, and records that remain useful after market conditions change.

Phoenix Operating Focus

The Phoenix opening emphasizes explicit handoff rules during daylight-saving changes and dependable afternoon review. Arizona does not observe daylight-saving time, so the relationship between local hours and other U.S. teams changes during the year. This opening owns a written clock-change checklist for meetings, market events, alerts, and shift transfers. The objective is simple: no missed review or unclear owner because another region moved its clock. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during year-round Mountain Standard Time coverage as national clock alignments change.

First Review Cycle

The first review cycle for Phoenix, AZ starts with year-round Mountain Standard Time coverage as national clock alignments change. It will establish a measured baseline for research-platform reliability, experiment lineage, and large time-series workloads before the team proposes an operating change. The evidence package includes this task: Improve experiment tracking, lineage, and reproducibility. It also includes this task: Optimize large time-series workloads. The Phoenix opening emphasizes explicit handoff rules during daylight-saving changes and dependable afternoon review. 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 year-round Mountain Standard Time coverage as national clock alignments change.

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 Phoenix, AZ 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 Phoenix, AZ 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.