Remote Quant Researcher - Portfolio Optimization (Columbus)

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

Benefits offered by this job

Medical, dental, and vision plan

401(k) with company matching

Flexible paid time off and companyhol?

Paid parental and caregiver leave

Annual learning, conference, and pro‑f

Remote-work equipment and home-office

Performance-bonus and equity

Job summary

Anemoi Predictive Technology LLC in Columbus, OH is seeking a fully remote Quantitative Researcher – Portfolio Construction. You will build portfolio methods translating research signals into controlled exposures, with Eastern Time monitoring and a balanced schedule for research and live-market review.

The role requires 4+ years of experience and strong numerical Python and optimization skills, plus eligibility for performance bonuses and equity based on role and level.

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 Eastern Time monitoring with a balanced schedule for research and live-market review.

Skills

Portfolio optimization

Risk models

Python

Optimization

Job description

Anemoi Predictive Technology LLC in Columbus, OH is seeking a fully remote Quantitative Researcher – Portfolio Construction. You will build portfolio methods translating research signals into controlled exposures, with Eastern Time monitoring and a balanced schedule for research and live-market review.

The role requires 4+ years of experience and strong numerical Python and optimization skills, plus eligibility for performance bonuses and equity based on role and level.