Remote Quantitative Researcher, Portfolio Construction Risk

Anemoi Predictive Technology LLC.

San Antonio (TX)

Hybrid

USD 185,000 - 255,000

Full time

14 days+

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Benefits offered by this job

Medical plan
Dental plan
Vision plan
401(k) matching
Flexible PTO
Parental leave
Caregiver leave
Learning budget
Remote equipment
Equity eligibility
Performance bonus

Job summary

Anemoi Predictive Technology LLC seeks a Quantitative Researcher — Portfolio Construction in San Antonio, TX. The role focuses on allocation methods, portfolio constraints, concentration limits, turnover controls, and stress diagnostics, with Central Time coverage for live monitoring and post-trade review.

This fully remote position requires 4+ years in portfolio optimization and risk models, strong Python and optimization skills, and the ability to communicate tradeoffs to researchers and

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 coverage for live monitoring, afternoon investigation, and close review.

Skills

Python
Optimization
Portfolio risk models
Tradeoff communication

Job description

Anemoi Predictive Technology LLC seeks a Quantitative Researcher — Portfolio Construction in San Antonio, TX. The role focuses on allocation methods, portfolio constraints, concentration limits, turnover controls, and stress diagnostics, with Central Time coverage for live monitoring and post-trade review.

This fully remote position requires 4+ years in portfolio optimization and risk models, strong Python and optimization skills, and the ability to communicate tradeoffs to researchers and

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