Quantitative Developer — Research Systems — Mesa

This fully remote Quantitative Developer — Research Systems opening serves Mesa, AZ and will build the research platform used to create reproducible market studies at scale. Applicants must be based in the Mesa, AZ area. The position adds year-round Mountain Standard Time review of national markets and afternoon exceptions.

Compensation and Benefits

About the Role

This opening gives the Mesa, 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 review of national markets and afternoon exceptions. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

Mesa Operating Focus

The Mesa opening emphasizes clock-aware procedures, steady remote coordination, and complete close documentation. Year-round Mountain Standard Time requires deliberate management of schedule changes elsewhere in the country. This opening confirms event calendars, automated jobs, and coverage windows after each national clock shift. Afternoon review focuses on incomplete decisions and produces a handoff that remains clear when colleagues begin earlier the next 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 review of national markets and afternoon exceptions.

First Review Cycle

The Mesa, AZ opening begins with an end-to-end review of research-platform reliability, experiment lineage, and large time-series workloads during year-round Mountain Standard Time review of national markets and afternoon exceptions. The review will keep research observations separate from live production decisions. 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 Mesa opening emphasizes clock-aware procedures, steady remote coordination, and complete close documentation. A peer will review both results from the same source data. The review closes only after another specialist can reproduce the key checks and identify the evidence behind the outcome for 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 review of national markets and afternoon exceptions.

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 Mesa, 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 Mesa, 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.