Quantitative Researcher — Portfolio Construction — Tucson

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

Benefits offered by this job

Medical, dental, and vision plan

401(k) plan with company matching

Remote-work equipment and home-office

Annual learning, conference, and pro‑f

Paid parental and caregiver leave

Job summary

Anemoi Predictive Technology LLC in Tucson, AZ is seeking a fully remote Quantitative Researcher for Portfolio Construction. You will build allocation methods, portfolio constraints, concentration limits, turnover controls, and stress diagnostics while maintaining year-round coverage in Mountain Standard Time.

Qualified candidates have 4+ years of experience in quantitative research, strong Python and optimization 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.
• Preferred: experience with transaction-cost-aware optimization.
• Preferred: knowledge of production controls for constrained portfolios.
• Experience collaborating across time zones while maintaining the operating coverage assigned to the Tucson, AZ opening.

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 year-round Mountain Standard Time coverage through changing national market schedules.

Skills

Python

Optimization

Portfolio optimization

Risk models

Communication

Tools

Python

Job description

This fully remote Quantitative Researcher — Portfolio Construction opening serves Tucson, AZ and will build portfolio methods that translate research signals into controlled exposures. Applicants must be based in the Tucson, AZ area. The position adds year-round Mountain Standard Time coverage through changing national market schedules.

Compensation and Benefits

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

About the Role

The Tucson, AZ position owns allocation methods, portfolio constraints, concentration limits, turnover controls, and stress diagnostics. Its working schedule covers year-round Mountain Standard Time coverage through changing national market schedules. You will work with a small group of specialists and preserve enough evidence for another person to challenge every material decision.

Tucson Operating Focus

The Tucson opening emphasizes consistent clock controls, well-timed handoffs, and reliable post-session review. Because Arizona keeps the same local clock all year, meeting and market relationships shift when other regions change time. The opening maintains tested schedules for data arrival, event review, and escalation coverage. Each clock transition is treated as an operating change with an owner, checklist, and confirmation after the first market day. For this role, that means direct ownership of portfolio constraints, exposure diagnostics, and stress review during year-round Mountain Standard Time coverage through changing national market schedules.

First Review Cycle

In Tucson, AZ, the first formal review will assess portfolio constraints, exposure diagnostics, and stress review under the normal controls used for year-round Mountain Standard Time coverage through changing national market schedules. Any proposed response must remain within an approved limit. The first evidence set will cover this task: Measure turnover, capacity, and stress behavior. The second will cover this task: Create transparent diagnostics for portfolio decisions. The Tucson opening emphasizes consistent clock controls, well-timed handoffs, and reliable post-session review. Each material deviation receives a named follow-up owner. At the end of the cycle, you will show how the evidence supports or challenges allocation methods, portfolio constraints, concentration limits, turnover controls, and stress diagnostics. Open questions stay visible until another review resolves them.

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 year-round Mountain Standard Time coverage through changing national market schedules.

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 Tucson, AZ 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.