Quantitative Researcher — Portfolio Construction Springs
Boulder, Boulder County, Colorado, 80509, USA
Listed on 2026-10-30
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Finance & Banking
Risk Manager/Analyst, Financial Analyst, Capital Markets, Trading - Equity / Derivatives / Quantitative
This fully remote Quantitative Researcher — Portfolio Construction opening serves Colorado Springs, CO and will build portfolio methods that translate research signals into controlled exposures. Applicants must be based in the Colorado Springs, CO area. The position adds Mountain Time coverage spanning early preparation, the cash session, and late review.
Compensation and BenefitsBase salary: $185,000–$255,000 USD, based on experience
Work arrangement: Fully remote; applicants must be based in the Colorado Springs, CO area
Experience: 4+ years
Additional compensation: Performance-bonus and equity eligibility based on role and level
This opening gives the Colorado Springs, CO hire responsibility for allocation methods, portfolio constraints, concentration limits, turnover controls, and stress diagnostics, with operating coverage focused on Mountain Time coverage spanning early preparation, the cash session, and late review. You will connect research, engineering, trading, and risk without hiding uncertainty or operational tradeoffs.
Colorado Springs Operating FocusThe Colorado Springs opening emphasizes resilient operations, precise handoffs, and calm response to market exceptions. Mountain Time coverage connects pre-market preparation with a full view of later-session behavior. The opening maintains resilient procedures for missing data, system degradation, and unusual liquidity. When an exception occurs, the response must be calm, reversible where possible, and detailed enough for independent review after conditions normalize.
For this role, that means direct ownership of portfolio constraints, exposure diagnostics, and stress review during Mountain Time coverage spanning early preparation, the cash session, and late review.
The initial Colorado Springs, CO review combines Mountain Time coverage spanning early preparation, the cash session, and late review with a controlled examination of portfolio constraints, exposure diagnostics, and stress review. Each material observation needs a source, a time, and a defined owner. 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 Colorado Springs opening emphasizes resilient operations, precise handoffs, and calm response to market exceptions. Each material deviation receives a named follow-up owner. The review is complete when a peer can reproduce the evidence, inspect the decision limit, and trace the outcome through 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 Mountain Time coverage spanning early preparation, the cash session, and late review.
- 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 Colorado Springs, CO 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.
Equal OpportunityAnemoi 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.
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