Senior Quantitative Researcher — Market Microstructure — Seattle

This fully remote Senior Quantitative Researcher — Market Microstructure opening serves Seattle, WA and will research intraday price formation, liquidity, and execution behavior across U.S. equities. Applicants must be based in the Seattle, WA area. The position adds Pacific Time monitoring of the U.S. close and preparation for overnight data workflows.

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

This opening gives the Seattle, WA hire responsibility for the full evidence path from event-time data design through production review of market-microstructure measures, with operating coverage focused on Pacific Time monitoring of the U.S. close and preparation for overnight data workflows. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

The Seattle opening emphasizes resilient analytical systems, asynchronous collaboration, and well-tested operating changes. Pacific Time coverage gives this opening responsibility for the U.S. close and the transition into overnight processing. Asynchronous work must be self-contained: the evidence, decision, limitation, and requested action belong in the same record. Changes to analytical systems require failure tests and a clear return to the last known-good state.

For this role, that means direct ownership of event-time data quality, liquidity diagnostics, and intraday research review during Pacific Time monitoring of the U.S. close and preparation for overnight data workflows.

For the first complete work cycle in Seattle, WA, you will use Pacific Time monitoring of the U.S. close and preparation for overnight data workflows to test how the team measures and escalates changes in event-time data quality, liquidity diagnostics, and intraday research review. Your initial work includes this task:
Partner with engineering to product ionize validated measures. It also includes this task:
Document assumptions, failure modes, and regime sensitivity. The Seattle opening emphasizes resilient analytical systems, asynchronous collaboration, and well-tested operating changes. The review must preserve the timing and source of each important input. The review is complete when a peer can reproduce the evidence, inspect the decision limit, and trace the outcome through the full evidence path from event-time data design through production review of market-microstructure measures.

• 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 product ionize validated measures
• Document assumptions, failure modes, and regime sensitivity
• Own event-time data quality, liquidity diagnostics, and intraday research review during Pacific Time monitoring of the U.S. close and preparation for overnight data workflows.

• 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

• 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 Seattle, WA opening.

• 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.

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.