Remote Quant Researcher - Portfolio Construction & Risk

Anemoi Predictive Technology LLC.; Fresno (CA); Remote; USD 185,000 - 255,000; Full time

Benefits offered by this job

Medical plan

Dental plan

Vision plan

401(k) match

Flexible PTO

Company holidays

Parental leave

Caregiver leave

Learning budget

Remote equipment support

Equity eligibility

Performance bonus

Job summary

Anemoi Predictive Technology LLC in Fresno, CA is seeking a fully remote Quantitative Researcher focused on portfolio construction. You will build portfolio methods that translate research signals into controlled exposures, while supporting Pacific Time review of late-session liquidity and next-day research readiness.

Responsibilities include developing allocation and risk-budgeting methods, modeling factor, sector, liquidity, and concentration constraints, and creating transparent diagnostics

Qualifications

• Experience with portfolio optimization and risk models
• Strong numerical Python and optimization skills
• Ability to explain model tradeoffs to researchers and traders

Responsibilities

• Develop allocation and risk-budgeting methods
• Model factor, sector, liquidity, and concentration constraints
• Measure turnover, capacity, and stress behavior
• Create transparent diagnostics for portfolio decisions
• Own portfolio constraints, exposure diagnostics, and stress review during Pacific Time review of late-session liquidity and next-day research readiness.

Skills

Python

Optimization

Risk modeling

Communication

Job description

Anemoi Predictive Technology LLC in Fresno, CA is seeking a fully remote Quantitative Researcher focused on portfolio construction. You will build portfolio methods that translate research signals into controlled exposures, while supporting Pacific Time review of late-session liquidity and next-day research readiness.

Responsibilities include developing allocation and risk-budgeting methods, modeling factor, sector, liquidity, and concentration constraints, and creating transparent diagnostics