Quantitative Researcher — Portfolio Construction — San Jose

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

The San Jose, CA opening for a Quantitative Researcher — Portfolio Construction is fully remote and restricted to applicants in that area. Its mandate is to build portfolio methods that translate research signals into controlled exposures while providing Pacific Time review of data-intensive workflows, the U.S. close, and overnight processing.

Compensation and Benefits

Base salary: $185,000–$255,000 USD, based on experience
Work arrangement: Fully remote; applicants must be based in the San Jose, CA area
Experience: 4+ years
Additional compensation: Performance-bonus and equity eligibility based on role and level

About the Role

The central responsibility of the San Jose, CA opening is allocation methods, portfolio constraints, concentration limits, turnover controls, and stress diagnostics. The assigned window includes Pacific Time review of data-intensive workflows, the U.S. close, and overnight processing. Success requires reproducible work, prompt escalation, and clear ownership through review and production use.

San Jose Operating Focus

The San Jose opening emphasizes scalable research systems, measurable latency, and careful release validation. Large datasets and time-sensitive systems need separate measures for correctness, latency, and cost. The opening reviews the U.S. close while also preparing overnight workflows that must be ready before the next session. Production improvements are accepted only when tests show that speed did not weaken point-in-time integrity or auditability. For this role, that means direct ownership of portfolio constraints, exposure diagnostics, and stress review during Pacific Time review of data-intensive workflows, the U.S. close, and overnight processing.

First Review Cycle

The San Jose, CA opening begins with an end-to-end review of portfolio constraints, exposure diagnostics, and stress review during Pacific Time review of data-intensive workflows, the U.S. close, and overnight processing. The review will keep research observations separate from live production decisions. You will first complete this task: Model factor, sector, liquidity, and concentration constraints. You will then complete this task: Measure turnover, capacity, and stress behavior. The San Jose opening emphasizes scalable research systems, measurable latency, and careful release validation. An unexpected result stays open until the evidence supports a disposition. The final handoff will name the current state, the responsible person, and the next verification step. It will preserve a clear path back to allocation methods, portfolio constraints, concentration limits, turnover controls, and stress diagnostics.

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.

Required Qualifications

• Experience with portfolio optimization and risk models
• Strong numerical Python and optimization skills
• Ability to explain model tradeoffs to researchers and traders

Preferred Qualifications

• Experience with transaction-cost-aware optimization and scenario analysis
• Knowledge of production controls for constrained portfolios
• Experience collaborating across time zones while maintaining the operating coverage assigned to the San Jose, CA opening.

Benefits

• Medical, dental, and vision plan options with substantial company support
• 401(k) plan with company matching
• Flexible paid time off and company holidays
• Paid parental and caregiver leave
• Annual learning, conference, and professional-development budget
• Remote-work equipment and home-office support
• Performance-bonus and equity eligibility based on role and level

Benefits are subject to plan terms and eligibility requirements.

Equal Opportunity

Anemoi provides equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other status protected by applicable law.