Remote Quant Trader - Multi-Asset Risk & Execution

Anemoi Predictive Technology LLC.; San Jose (CA); Hybrid; USD 190,000 - 285,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

401(k) matching

Flexible PTO

Parental leave

Learning budget

Home-office equipment

Remote-work support

Performance bonus

Equity eligibility

Job summary

Anemoi Predictive Technology LLC is seeking a fully remote Quantitative Trader – Multi-Asset based in the San Jose, CA area to trade and evaluate systematic strategies across liquid equities, ETFs, futures, and FX, with Pacific Time review of data-intensive workflows, the U.S. close, and overnight processing.

The role centers on live cross-asset exposure, instrument-specific mechanics, funding, rolls, and execution quality, with four or more years in systematic trading and Python or similar

Qualifications

• Four or more years of systematic multi-asset trading.
• Strong derivatives, statistics, and market-mechanics knowledge.
• Python or comparable quantitative programming experience.

Responsibilities

• Manage live exposures and instrument-specific risk limits
• Review execution quality, funding, rolls, and calendar effects
• Research cross-asset relationships without forcing unstable correlations
• Lead incident review and operating-control improvements
• Own cross-asset exposure, funding and roll events, execution quality, and venue-specific risk during Pacific Time review of data-intensive workflows, the U.S. close, and overnight processing.

Skills

Multi-asset trading

Derivatives knowledge

Statistics

Python programming

Job description

Anemoi Predictive Technology LLC is seeking a fully remote Quantitative Trader – Multi-Asset based in the San Jose, CA area to trade and evaluate systematic strategies across liquid equities, ETFs, futures, and FX, with Pacific Time review of data-intensive workflows, the U.S. close, and overnight processing.

The role centers on live cross-asset exposure, instrument-specific mechanics, funding, rolls, and execution quality, with four or more years in systematic trading and Python or similar