Remote Digital-Asset Quant Trader - Pacific Time Coverage

Anemoi Predictive Technology LLC; Fresno (CA); Hybrid; USD 185,000 - 280,000; Full time

Benefits offered by this job

Medical, dental, and vision plan

401(k) plan with company matching

Flexible PTO and holidays

Parental and caregiver leave

Learning budget

Remote-work equipment & home-office

Performance-bonus and equity eligible

Job summary

Anemoi Predictive Technology LLC in Fresno, CA is seeking a Digital-Asset Quantitative Trader to build a controlled institutional process for liquid markets. Applicants must live in the local area to enable Pacific Time review of late-session liquidity.

You will monitor positions, liquidity, venue exposure, and funding; evaluate execution across centralized venues; and design weekend and overnight operating controls. Strong Python and statistical skills are essential.

Qualifications

• Five+ years in quantitative trading, including digital assets.
• Experience with continuous markets, exchange APIs, and venue risk.
• Strong Python, statistics, and operational discipline.

Responsibilities

• Monitor positions, liquidity, venue exposure, and funding.
• Evaluate execution across centralized venues.
• Design weekend and overnight operating controls.
• Research market structure while respecting legal and counterparty limits.
• Own continuous-market exposure, fragmented liquidity, venue risk, and shift handoffs during Pacific Time review of late-session liquidity and next-day research readiness.

Skills

Quantitative trading

Digital assets

Market knowledge

Tools

Python

API integration

Trading libraries

Job description

Anemoi Predictive Technology LLC in Fresno, CA is seeking a Digital-Asset Quantitative Trader to build a controlled institutional process for liquid markets. Applicants must live in the local area to enable Pacific Time review of late-session liquidity.

You will monitor positions, liquidity, venue exposure, and funding; evaluate execution across centralized venues; and design weekend and overnight operating controls. Strong Python and statistical skills are essential.