Remote Cross-Asset Quant Trader (Python)

Anemoi Predictive Technology LLC.

Northern (KY)

Hybrid

USD 190,000 - 285,000

Full time

14 days+
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Benefits offered by this job

Medical Dental Vision
401(k) Matching
Flexible PTO
Parental Leave
Learning Budget
Home-office Support
Bonus & Equity

Job summary

Anemoi Predictive Technology LLC in the Washington, DC area seeks a fully remote Quantitative Trader — Multi-Asset to trade and evaluate systematic strategies across liquid equities, ETFs, futures, and FX. The role centers on Eastern Time monitoring of market events and requires ownership of cross-asset exposure, funding, rolls, and execution quality.

The position demands 4+ years in systematic trading, strong derivatives and statistics knowledge, and Python or similar programming experience.

Qualifications

  • Four or more years of systematic multi-asset trading experience.
  • 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 Eastern Time monitoring and close review

Skills

Systematic multi-asset trading
Derivatives knowledge
Statistics
Python programming

Job description

Anemoi Predictive Technology LLC in the Washington, DC area seeks a fully remote Quantitative Trader — Multi-Asset to trade and evaluate systematic strategies across liquid equities, ETFs, futures, and FX. The role centers on Eastern Time monitoring of market events and requires ownership of cross-asset exposure, funding, rolls, and execution quality.

The position demands 4+ years in systematic trading, strong derivatives and statistics knowledge, and Python or similar programming experience.

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