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About the Role

Capstone Investment Advisors, LLC seeks a Vice President, Trader to develop quantitative techniques to inform financial decisions. This role involves building algorithms, backtesting strategies, and calculating statistical measures for fixed income products, swaps, and interest rate derivatives.

Responsibilities

• Develop quantitative techniques to inform financial decisions.
• Build algorithms, backtest strategies, and calculate statistical measures for fixed income products, swaps, and interest rate derivatives.
• Design signal and backtesting strategies with Sharpe ratios.
• Calculate key statistical metrics, including expected return, volatility, Sharpe ratio, and correlation, to support data-driven investment decisions.
• Monitor portfolio performance, analyze return attributions, and troubleshoot PnL discrepancies.
• Utilize machine learning algorithms and optimization algorithms to enhance feature selection, model building, portfolio optimization, and strategy performance.
• Design and backtest systematic strategies.
• Automate portfolio construction and investment decision-making across a range of asset classes including USD rates, European rates, mortgage-backed securities, credit default products, and cross-currency adjustments.
• Assess dataset relevance and predictive power through rigorous statistical analysis.
• Utilize programming languages and analytical tools including Python to drive quantitative insights.

Requirements

• Master’s degree in Mathematics, Computer Science, or related quantitative field or equivalent.
• Two (2) years of experience building algorithms, back testing strategies, and calculating statistical measures, fixed income products, swaps and interest rate derivatives.
• Experience designing signal and back testing strategies with Sharpe ratios.
• Experience calculating key statistical metrics, including expected return, volatility, Sharpe ratio, and correlation, to support data-driven investment decisions.
• Experience monitoring portfolio performance, analyzing return attributions, and troubleshooting PnL discrepancies.
• Experience utilizing machine learning algorithms and optimization algorithms to enhance feature selection, model building, portfolio optimization, and strategy performance.
• Experience designing and backtesting systematic strategies.
• Experience automating portfolio construction and investment decision-making across a range of asset classes including USD rates, European rates, mortgage-backed securities, credit default products, and cross-currency adjustments.
• Experience assessing dataset relevance and predictive power through rigorous statistical analysis.
• Experience utilizing programming languages and analytical tools including Python to drive quantitative insights.

Skills

• Quantitative techniques
• Algorithm building
• Strategy backtesting
• Statistical measures
• Fixed income products
• Swaps
• Interest rate derivatives
• Sharpe ratios
• Machine learning algorithms
• Optimization algorithms
• Portfolio optimization
• Systematic strategies
• Python

Location

• New York, NY

Work Type

• Telecommuting may be permissible

Experience Level

• Vice President
• Two (2) years of experience

Education Level

• Master’s degree in Mathematics, Computer Science, or related quantitative field or equivalent

Salary/Compensations

• $150,000-$160,000
• Eligible for performance-based incentives
• Eligible for an annual incentive plan

Benefits

• Training and development opportunities
• Robust Wellness Resources: Physical, Mental and Financial
• Time-Off, Retirement and Commuter Benefits
• Gym Reimbursement and other Discounts

About the Company

• Capstone Investment Advisors, LLC (“Capstone”) is a global asset manager, dedicated to exploring alpha opportunities in derivatives and complementary strategies that persist across market cycles.
• With approximately $12.5 billion of AUM (as of May 1, 2026) and 304 employees, Capstone is headquartered in New York with offices in London, Amsterdam, Stamford, Los Angeles, Boston, Tokyo, Milan, Texas, and Maryland.
• Since 2004, through strategic insight, market-leading expertise, and advanced technology, we have sought to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team, and industry.
• With our sophisticated, global client base, we recognize that our success is deeply connected to real people.
• For that reason, we take a human approach to everything we do, focusing largely on collaborative performance.
• Our workflow and process are built around the belief that by sharing ideas, we achieve greater outcomes.
• This gives you greater access to resources, direct exposure to senior leadership, and new opportunities to experiment and innovate.
• Our team is our most important asset and investment.
• We value and respect our colleagues and their well-being inside and outside the workplace and our culture reflects this.
• We offer a robust and competitive benefits program to ensure the well-being of our colleagues.
• We value innovation, teamwork, trust, and discipline.
• Experimentation: We love fresh ideas and encourage you to try new things. Here, you’ll have the freedom to innovate and help shape our strategies.
• Collaboration: We’re big on teamwork. You'll join a supportive community where everyone’s input matters, and we learn from each other every day.
• Trust: We believe in building strong, honest relationships. You'll be part of an environment where your contributions are respected and integrity is key.
• Discipline: In our fast-paced world, staying focused is crucial. We commit to high standards and a disciplined approach, helping you grow both personally and professionally.
• Be part of a team that values your creativity and dedication. Together, let's push boundaries and achieve great things.

Equal Opportunity

• Capstone is committed to creating an inclusive environment where we welcome people of different backgrounds.
• Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status.