Remote Quantitative Researcher: Portfolio Strategy & Risk

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

Benefits offered by this job

Medical, dental, vision coverage

401(k) with company matching

Flexible PTO and holidays

Parental and caregiver leave

Learning and development budget

Remote-work equipment

Equity eligibility

Job summary

Anemoi Predictive Technology LLC seeks a Quantitative Researcher — Portfolio Construction to build allocation methods and risk-budgeting tools. The role emphasizes scalable research systems, criteria for constraints, and robust diagnostics, with Pacific Time review of data-heavy workflows and overnight processing.

The ideal candidate has 4+ years in portfolio optimization, strong Python skills, and the ability to communicate model tradeoffs to researchers and traders.

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 data-intensive workflows, the U.S. close, and overnight processing.

Skills

portfolio optimization

risk models

Python

tradeoff analysis

Tools

Python

Job description

Anemoi Predictive Technology LLC seeks a Quantitative Researcher — Portfolio Construction to build allocation methods and risk-budgeting tools. The role emphasizes scalable research systems, criteria for constraints, and robust diagnostics, with Pacific Time review of data-heavy workflows and overnight processing.

The ideal candidate has 4+ years in portfolio optimization, strong Python skills, and the ability to communicate model tradeoffs to researchers and traders.