Quantitative Developer — Research Systems — Tucson

Anemoi is hiring a fully remote Quantitative Developer — Research Systems based in the Tucson, AZ area to build the research platform used to create reproducible market studies at scale. The opening is designed for year-round Mountain Standard Time coverage through changing national market schedules.

Compensation and Benefits

About the Role

This opening gives the Tucson, AZ hire responsibility for research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads, with operating coverage focused on year-round Mountain Standard Time coverage through changing national market schedules. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

Tucson Operating Focus

The Tucson opening emphasizes consistent clock controls, well-timed handoffs, and reliable post-session review. Because Arizona keeps the same local clock all year, meeting and market relationships shift when other regions change time. The opening maintains tested schedules for data arrival, event review, and escalation coverage. Each clock transition is treated as an operating change with an owner, checklist, and confirmation after the first market day. 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 through changing national market schedules.

First Review Cycle

During the initial operating review in Tucson, AZ, you will examine research-platform reliability, experiment lineage, and large time-series workloads while the assigned schedule covers year-round Mountain Standard Time coverage through changing national market schedules. Normal controls remain in force throughout the review. The operating test starts with this task: Optimize large time-series workloads. It continues with this task: Add tests that detect leakage and inconsistent data vintages. The Tucson opening emphasizes consistent clock controls, well-timed handoffs, and reliable post-session review. The findings must distinguish confirmed evidence from an early explanation. The review is complete when a peer can reproduce the evidence, inspect the decision limit, and trace the outcome through 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 year-round Mountain Standard Time coverage through changing national market schedules.

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 Tucson, 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 Tucson, 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.