Quantitative Developer — Research Systems — Fort Worth

Anemoi is hiring a fully remote Quantitative Developer — Research Systems based in the Fort Worth, TX area to build the research platform used to create reproducible market studies at scale. The opening is designed for Central Time supervision of intraday controls and end-of-session operating review.

Compensation and Benefits

About the Role

This opening gives the Fort Worth, TX hire responsibility for research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads, with operating coverage focused on Central Time supervision of intraday controls and end-of-session operating review. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

Fort Worth Operating Focus

The Fort Worth opening emphasizes practical risk ownership, concise communication, and repeatable daily procedures. This role uses a steady Central Time cadence: readiness checks, live supervision, close reconciliation, and a short improvement queue. Unusual activity must be handled without weakening normal controls. Each operational change needs a testable purpose and a rollback path that another team member can execute. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Central Time supervision of intraday controls and end-of-session operating review.

First Review Cycle

Your first documented cycle for the Fort Worth, TX opening will test the operating process for research-platform reliability, experiment lineage, and large time-series workloads during Central Time supervision of intraday controls and end-of-session operating review. The objective is a reproducible baseline, not a quick narrative. One required check is: Optimize large time-series workloads. The next required check is: Add tests that detect leakage and inconsistent data vintages. The Fort Worth opening emphasizes practical risk ownership, concise communication, and repeatable daily procedures. You will identify any assumption that remains untested after both checks. 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 Central Time supervision of intraday controls and end-of-session operating review.

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 Fort Worth, 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 Fort Worth, 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.