Quantitative Researcher — Portfolio Construction

This fully remote Quantitative Researcher - Portfolio Construction opening serves Houston, TX and will build portfolio methods that translate research signals into controlled exposures. Applicants must be based in the Houston, TX area. The position adds Central Time monitoring of cross-asset conditions and the complete U.S. trading day.

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

This opening gives the Houston, TX hire responsibility for allocation methods, portfolio constraints, concentration limits, turnover controls, and stress diagnostics, with operating coverage focused on Central Time monitoring of cross-asset conditions and the complete U.S. trading day. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.

The Houston opening emphasizes disciplined links between market evidence, cross-asset risk, and operating decisions. Cross-asset review becomes important when energy prices, rates, currencies, and equity risk move together. The opening must test whether those links are stable enough to affect a decision or are only a temporary reaction. Research and trading records must identify the exact evidence used without turning a market story into an unsupported conclusion.

For this role, that means direct ownership of portfolio constraints, exposure diagnostics, and stress review during Central Time monitoring of cross-asset conditions and the complete U.S. trading day.

For the first complete work cycle in Houston, TX, you will use Central Time monitoring of cross-asset conditions and the complete U.S. trading day to test how the team measures and escalates changes in portfolio constraints, exposure diagnostics, and stress review. The first evidence set will cover this task:
Develop allocation and risk-budgeting methods. The second will cover this task:
Model factor, sector, liquidity, and concentration constraints. The Houston opening emphasizes disciplined links between market evidence, cross-asset risk, and operating decisions. Each material deviation receives a named follow-up owner. The final record separates completed work, open research, and live operating risk. A reviewer must be able to trace each material decision to allocation methods, portfolio constraints, concentration limits, turnover controls, and stress diagnostics.

• 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 monitoring of cross-asset conditions and the complete U.S. trading day.

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

• 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 Houston, TX opening.

• 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.

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.