Quantitative Developer — Research Systems — El Paso

The El Paso, TX 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 Mountain Time coordination between Central and Pacific market workflows.

Compensation and Benefits

About the Role

The central responsibility of the El Paso, TX opening is research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. The assigned window includes Mountain Time coordination between Central and Pacific market workflows. Success requires reproducible work, prompt escalation, and clear ownership through review and production use.

El Paso Operating Focus

The El Paso opening emphasizes reliable cross-region handoffs and clear ownership when trading schedules overlap. The Mountain Time schedule overlaps with both Central and Pacific workflows, which makes transfer quality a central responsibility. The opening tracks work that crosses regions and closes ambiguous ownership before it becomes an incident. Late-session review also checks that the next team receives current data rather than an earlier snapshot. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Mountain Time coordination between Central and Pacific market workflows.

First Review Cycle

Your first documented cycle for the El Paso, TX opening will test the operating process for research-platform reliability, experiment lineage, and large time-series workloads during Mountain Time coordination between Central and Pacific market workflows. The objective is a reproducible baseline, not a quick narrative. 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 El Paso opening emphasizes reliable cross-region handoffs and clear ownership when trading schedules overlap. You will identify any assumption that remains untested after both checks. The closing summary must show whether the evidence supports a change or only further study. It must let another specialist evaluate research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads without private context.

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 coordination between Central and Pacific market workflows.

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 El Paso, TX 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 El Paso, TX 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.