Senior Quant Researcher – Market Microstructure (Remote)

Anemoi Predictive Technology LLC

San Jose (CA)

On-site

USD 210,000 - 285,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, vision plans
401(k) with company matching
Remote-work equipment & home-office
Learning & development budget
Parental & caregiver leave
Flexible PTO & holidays
Performance bonus & equity

Job summary

Anemoi Predictive Technology LLC in San Jose, CA, seeks a Senior Quantitative Researcher – Market Microstructure to study intraday price formation, liquidity, and execution behavior across U.S. equities.

The role is fully remote, but applicants must be based in the San Jose area and aligned with Pacific Time, including overnight processing. You will own the evidence path from event-time data design through production review of market-microstructure measures and collaborate with engineering to

Qualifications

  • Advanced degree in a quantitative field or an equivalent research track 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.

Skills

Python
SQL
Statistics
Market data
Empirical research

Education

Advanced quantitative degree

Job description

Anemoi Predictive Technology LLC in San Jose, CA, seeks a Senior Quantitative Researcher – Market Microstructure to study intraday price formation, liquidity, and execution behavior across U.S. equities.

The role is fully remote, but applicants must be based in the San Jose area and aligned with Pacific Time, including overnight processing. You will own the evidence path from event-time data design through production review of market-microstructure measures and collaborate with engineering to

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