Remote Quantitative Researcher - Portfolio Construction

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

Benefits offered by this job

Medical, dental, and vision plans

401(k) plan with company matching

Flexible paid time off

Parental and caregiver leave

Annual learning/conference budget

Remote-work equipment

Performance-bonus eligibility

Equity eligibility

Job summary

Anemoi Predictive Technology LLC in Albuquerque, NM is seeking a Quantitative Researcher — Portfolio Construction to build portfolio methods translating research signals into controlled exposures. The role is fully remote; applicants must be based in the Albuquerque, NM area, with work aligned to Mountain Time.

You will own allocation methods, constraints, and stress diagnostics across early-market and late-session windows, collaborating with research, engineering, trading, and risk to reveal

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 Mountain Time monitoring across both early-market and late-session operating windows.

Skills

Python

Optimization

Risk modeling

Model explanations

Job description

Anemoi Predictive Technology LLC in Albuquerque, NM is seeking a Quantitative Researcher — Portfolio Construction to build portfolio methods translating research signals into controlled exposures. The role is fully remote; applicants must be based in the Albuquerque, NM area, with work aligned to Mountain Time.

You will own allocation methods, constraints, and stress diagnostics across early-market and late-session windows, collaborating with research, engineering, trading, and risk to reveal