Quantitative Developer — Research Systems — Indianapolis

Anemoi is hiring a fully remote Quantitative Developer — Research Systems based in the Indianapolis, IN area to build the research platform used to create reproducible market studies at scale. The opening is designed for Eastern Time coordination of morning research, intraday decisions, and post-close checks.

Compensation and Benefits

About the Role

The Indianapolis, IN position owns research infrastructure, point-in-time data integrity, experiment lineage, and reliable numerical workloads. Its working schedule covers Eastern Time coordination of morning research, intraday decisions, and post-close checks. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

Indianapolis Operating Focus

The Indianapolis opening emphasizes process ownership, practical review standards, and unambiguous escalation paths. Morning research conclusions must be translated into explicit live-market checks before the open. During the session, the opening owns the point where observation becomes escalation. Final reconciliation confirms that every material exception has evidence, a disposition, and either a completed action or a named next owner. For this role, that means direct ownership of research-platform reliability, experiment lineage, and large time-series workloads during Eastern Time coordination of morning research, intraday decisions, and post-close checks.

First Review Cycle

For the first complete work cycle in Indianapolis, IN, you will use Eastern Time coordination of morning research, intraday decisions, and post-close checks to test how the team measures and escalates changes in research-platform reliability, experiment lineage, and large time-series workloads. One required check is: Develop reusable data and backtest infrastructure. The next required check is: Improve experiment tracking, lineage, and reproducibility. The Indianapolis opening emphasizes process ownership, practical review standards, and unambiguous escalation paths. You will identify any assumption that remains untested after both checks. Before the review closes, you will state what changed, what did not change, and what needs more evidence. A peer must be able to follow the result back 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 Eastern Time coordination of morning research, intraday decisions, and post-close checks.

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 Indianapolis, IN 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 Indianapolis, IN 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.