Remote Senior Quant: Market Microstructure & Liquidity

Anemoi Predictive Technology LLC

Fresno (CA)

Hybrid

USD 210,000 - 285,000

Full time

14 days+
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Benefits offered by this job

Medical plan
401(k) matching
Flexible PTO
Parental leave
Learning budget
Remote equipment
Bonus & equity

Job summary

Anemoi Predictive Technology LLC in Fresno, CA is seeking a Senior Quantitative Researcher - Market Microstructure to research intraday price formation, liquidity, and execution behavior across U.S. equities, with Pacific Time review of late-session liquidity and next-day research readiness.

In this Fresno, CA role you will own the evidence path from event-time data design through production review of market-microstructure measures, and collaborate with engineering to productionize validated

Qualifications

  • Advanced degree in a quantitative field or equivalent research record
  • 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 Pacific Time review of late-session liquidity and next-day research readiness

Skills

Python
SQL
Statistics
Market data
Empirical research
Cross-timezone collaboration
Order-book data
Auctions

Education

Advanced degree in quantitative field

Job description

Anemoi Predictive Technology LLC in Fresno, CA is seeking a Senior Quantitative Researcher - Market Microstructure to research intraday price formation, liquidity, and execution behavior across U.S. equities, with Pacific Time review of late-session liquidity and next-day research readiness.

In this Fresno, CA role you will own the evidence path from event-time data design through production review of market-microstructure measures, and collaborate with engineering to productionize validated

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