Quantitative Developer — Research Systems — Austin

Based in the Austin, TX 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 Central Time collaboration between quantitative research, engineering, and trading operations.

Compensation and Benefits

About the Role

The Austin, TX position owns research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. Its working schedule covers Central Time collaboration between quantitative research, engineering, and trading operations. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

Austin Operating Focus

The Austin opening emphasizes reproducible experiments, production discipline, and direct technical communication. This opening sits at the boundary between research ideas and production systems. Experiments must be reproducible, data lineage must remain visible, and a promising result does not bypass release controls. Central Time overlap supports direct work with both coasts, while written design records keep asynchronous review effective. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Central Time collaboration between quantitative research, engineering, and trading operations.

First Review Cycle

The Austin, TX opening begins with an end-to-end review of research-platform reliability, experiment lineage, and large time-series workloads during Central Time collaboration between quantitative research, engineering, and trading operations. The review will keep research observations separate from live production decisions. The evidence package includes this task: Develop reusable data and backtest infrastructure. It also includes this task: Improve experiment tracking, lineage, and reproducibility. The Austin opening emphasizes reproducible experiments, production discipline, and direct technical communication. A peer will review both results from the same source data. The final record separates completed work, open research, and live operating risk. A reviewer must be able to trace each material decision to 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 collaboration between quantitative research, engineering, and trading operations.

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 Austin, 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 Austin, 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.