Remote Quantitative Trader — Cross-Asset Markets

Anemoi Predictive Technology LLC.; Austin (TX); Hybrid; USD 190,000 - 285,000; Full time

Benefits offered by this job

Medical, dental, and vision plan

401(k) plan with company matching

Flexible paid time off

Paid parental and caregiver leave

Annual learning, conference, and pro‑f

Remote-work equipment and home-office

Job summary

Anemoi Predictive Technology LLC. is seeking a fully remote Quantitative Trader — Multi-Asset based in the Austin, TX area.

You will trade and evaluate systematic strategies across equities, ETFs, futures, and FX, with Central Time collaboration across research, engineering, and trading operations. This role focuses on live cross-asset exposure, instrument-specific mechanics, funding, rolls, and execution quality, while ensuring risk controls and reproducible processes across time zones.

Qualifications

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

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 Central Time collaboration.

Skills

Python programming

Quantitative trading

Statistical analysis

Derivatives knowledge

Market mechanics understanding

Job description

Anemoi Predictive Technology LLC. is seeking a fully remote Quantitative Trader — Multi-Asset based in the Austin, TX area.

You will trade and evaluate systematic strategies across equities, ETFs, futures, and FX, with Central Time collaboration across research, engineering, and trading operations. This role focuses on live cross-asset exposure, instrument-specific mechanics, funding, rolls, and execution quality, while ensuring risk controls and reproducible processes across time zones.