Remote Quant Researcher: Portfolio Construction & Risk

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

Benefits offered by this job

Medical, dental, and vision

401(k) plan with company matching

Flexible PTO and holidays

Parental and caregiver leave

Learning, conference, and development

Remote-work equipment and home-office

Bonus and equity eligibility

Job summary

Anemoi Predictive Technology LLC is hiring a fully remote Quantitative Researcher – Portfolio Construction based in the Austin, TX area. You will build portfolio methods translating research signals into controlled exposures, with Central Time collaboration between quantitative research, engineering, and trading operations.

Responsibilities include allocation methods, portfolio constraints, turnover controls, and stress diagnostics, ensuring reproducible experiments and production discipline.

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 Central Time collaboration between quantitative research, engineering, and trading operations.

Skills

Portfolio optimization

Risk models

Python

Optimization

Job description

Anemoi Predictive Technology LLC is hiring a fully remote Quantitative Researcher – Portfolio Construction based in the Austin, TX area. You will build portfolio methods translating research signals into controlled exposures, with Central Time collaboration between quantitative research, engineering, and trading operations.

Responsibilities include allocation methods, portfolio constraints, turnover controls, and stress diagnostics, ensuring reproducible experiments and production discipline.