Quantitative Researcher — Systematic Equities — Indianapolis

This Indianapolis, IN-based, fully remote Quantitative Researcher — Systematic Equities position will develop and test systematic equity research across sectors, factors, and changing market regimes. Applicants must live in the local area, which gives the team Eastern Time coordination of morning research, intraday decisions, and post-close checks.

Compensation and Benefits

About the Role

In this Indianapolis, IN role, you will be accountable for a falsifiable research idea from point-in-time data construction through out-of-sample evaluation while supporting Eastern Time coordination of morning research, intraday decisions, and post-close checks. The work requires direct communication, explicit limits, and records that remain useful after market conditions change.

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 equity-signal validation, sector diagnostics, and regime review during Eastern Time coordination of morning research, intraday decisions, and post-close checks.

First Review Cycle

The first review cycle for Indianapolis, IN starts with Eastern Time coordination of morning research, intraday decisions, and post-close checks. It will establish a measured baseline for equity-signal validation, sector diagnostics, and regime review before the team proposes an operating change. The evidence package includes this task: Form hypotheses and build clean point-in-time equity datasets. It also includes this task: Test signal stability, turnover, capacity, and transaction-cost sensitivity. The Indianapolis opening emphasizes process ownership, practical review standards, and unambiguous escalation paths. A peer will review both results from the same source data. The final handoff will name the current state, the responsible person, and the next verification step. It will preserve a clear path back to a falsifiable research idea from point-in-time data construction through out-of-sample evaluation.

Responsibilities

• Form hypotheses and build clean point-in-time equity datasets
• Test signal stability, turnover, capacity, and transaction-cost sensitivity
• Run walk-forward and out-of-sample evaluation
• Present both favorable and unfavorable results to the investment team
• Own equity-signal validation, sector diagnostics, and regime review during Eastern Time coordination of morning research, intraday decisions, and post-close checks.

Required Qualifications

• Three or more years in quantitative research, data science, or systematic investing
• Python and SQL proficiency with strong probability and statistics
• Clear understanding of backtest bias and model validation

Preferred Qualifications

• Experience with equity factors, corporate actions, and point-in-time fundamentals
• A record of moving research into monitored production use
• 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.