Remote NY-Based Quant Trader — Multi-Asset

Anemoi Predictive Technology LLC.

New York (NY)

Remote

USD 190,000 - 285,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision
401(k) plan with company matching
Flexible PTO and holidays
Parental and caregiver leave
Learning budget and professional dev

Job summary

Anemoi Predictive Technology LLC. is seeking a Quantitative Trader — Multi-Asset based in New York, NY, with fully remote work arrangements for candidates in the New York area. The role focuses on live cross-asset exposure, instrument-specific mechanics, funding, rolls, and execution within the early U.S.

market prep and the Eastern Time cash session. Requirements include 4+ years in systematic multi-asset trading, strong knowledge of derivatives and market mechanics, and Python or equivalent

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 early U.S. market preparation and the full Eastern Time cash session.

Skills

Systematic multi-asset trading
Python programming

Job description

Anemoi Predictive Technology LLC. is seeking a Quantitative Trader — Multi-Asset based in New York, NY, with fully remote work arrangements for candidates in the New York area. The role focuses on live cross-asset exposure, instrument-specific mechanics, funding, rolls, and execution within the early U.S.

market prep and the Eastern Time cash session. Requirements include 4+ years in systematic multi-asset trading, strong knowledge of derivatives and market mechanics, and Python or equivalent

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