Senior Quantitative Researcher — Market Microstructure — Indianapolis

Anemoi Predictive Technology LLC; Indianapolis, Northern (IN, KY); Hybrid; USD 210,000 - 285,000; Full time

Benefits offered by this job

Medical benefits

401(k) matching

Flexible PTO

Parental leave

Learning budget

Remote equipment support

Performance bonus

Equity eligibility

Job summary

Anemoi Predictive Technology LLC in the Indianapolis, IN area is seeking a fully remote Senior Quantitative Researcher focused on Market Microstructure to study intraday price formation, liquidity, and execution behavior in U.S. equities.

The role coordinates morning research and post-close checks in Eastern Time while maintaining rigorous evidence trails for all material decisions. We offer a base salary of $210,000–$285,000 USD with performance bonuses and equity eligibility.

Qualifications

• Advanced degree or equivalent research record in a quantitative field.
• Strong Python, SQL, statistics, and market-data experience.
• Evidence of rigorous empirical research in electronic markets.

Responsibilities

• Design studies of spreads, depth, impact, auction behavior, and short-horizon price response.
• Build event-time datasets without look-ahead or survivorship bias.
• Partner with engineering to productionize validated measures.
• Document assumptions, failure modes, and regime sensitivity.
• Own event-time data quality, liquidity diagnostics, and intraday research review during ET coordination.

Skills

Python

SQL

Statistics

Market data

Empirical research

Education

Advanced degree in quantitative field

Job description

Based in the Indianapolis, IN area, this fully remote Senior Quantitative Researcher — Market Microstructure will research intraday price formation, liquidity, and execution behavior across U.S. equities. The operating schedule centers on Eastern Time coordination of morning research, intraday decisions, and post-close checks.

Compensation and Benefits

Base salary: $210,000–$285,000 USD, based on experience
Work arrangement: Fully remote; applicants must be based in the Indianapolis, IN area
Experience: 7+ years
Additional compensation: Performance-bonus and equity eligibility based on role and level

About the Role

The Indianapolis, IN position owns the full evidence path from event-time data design through production review of market-microstructure measures. 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 event-time data quality, liquidity diagnostics, and intraday research review during Eastern Time coordination of morning research, intraday decisions, and post-close checks.

First Review Cycle

In Indianapolis, IN, the first formal review will assess event-time data quality, liquidity diagnostics, and intraday research review under the normal controls used for Eastern Time coordination of morning research, intraday decisions, and post-close checks. Any proposed response must remain within an approved limit. Two assigned tasks anchor the evidence: Design studies of spreads, depth, impact, auction behavior, and short-horizon price response; and Build event-time datasets without look-ahead or survivorship bias. The Indianapolis opening emphasizes process ownership, practical review standards, and unambiguous escalation paths. The record must show how each result affected the review. Completion requires a repeatable evidence path, a clear response boundary, and a time for the next check. Those records must connect directly to the full evidence path from event-time data design through production review of market-microstructure measures.

Responsibilities

• Design studies of spreads, depth, impact, auction behavior, and short-horizon price response
• Build event-time datasets without look-ahead or survivorship bias
• Partner with engineering to productionize validated measures
• Document assumptions, failure modes, and regime sensitivity
• Own event-time data quality, liquidity diagnostics, and intraday research review during Eastern Time coordination of morning research, intraday decisions, and post-close checks.

Required Qualifications

• Advanced degree in a quantitative field or an equivalent research record
• Strong Python, SQL, statistics, and market-data experience
• Evidence of rigorous empirical research in electronic markets

Preferred Qualifications

• Experience with order-book data, auctions, or transaction-cost models
• A record of explaining noisy microstructure evidence without overstating conclusions
• 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.