Quantitative Developer — Research Systems — Las Vegas

Based in the Las Vegas, NV area, this fully remote Quantitative Developer — Research Systems will build the research platform used to create reproducible market studies at scale. The operating schedule centers on Pacific Time coverage of the U.S. close, continuous-market exceptions, and overnight preparation.

Compensation and Benefits

About the Role

The Las Vegas, NV position owns research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. Its working schedule covers Pacific Time coverage of the U.S. close, continuous-market exceptions, and overnight preparation. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

Las Vegas Operating Focus

The Las Vegas opening emphasizes disciplined shift boundaries, venue awareness, and complete incident transfer. The Pacific schedule includes the cash close and, for continuous markets, the start of another operating period rather than a full stop. This opening defines shift boundaries for positions, venues, data, and open incidents. Weekend or overnight coverage must use the same evidence and escalation standards as normal weekday work. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Pacific Time coverage of the U.S. close, continuous-market exceptions, and overnight preparation.

First Review Cycle

The first review cycle for Las Vegas, NV starts with Pacific Time coverage of the U.S. close, continuous-market exceptions, and overnight preparation. 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 operating test starts with this task: Develop reusable data and backtest infrastructure. It continues with this task: Improve experiment tracking, lineage, and reproducibility. The Las Vegas opening emphasizes disciplined shift boundaries, venue awareness, and complete incident transfer. The findings must distinguish confirmed evidence from an early explanation. 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 Pacific Time coverage of the U.S. close, continuous-market exceptions, and overnight preparation.

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 Las Vegas, NV 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 Las Vegas, NV 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.