Associate, Treasury Quant

We see the world differently at Capstone Investment Advisors. You will, too.

Capstone is a global, alternative investment management firm operating across a broad range of derivatives-based strategies with a deep understanding of volatility. With approximately $14.6 billion of AUM and 315 employees (as of September 1, 2026, Capstone was formed in 2007 and is headquartered in New York with offices in London, Amsterdam, Tokyo, California, Stamford, Boston, and Milan. 

At Capstone, we constantly aim to expand our view of how WE SEE THE WORLD DIFFERENTLY® in order to create opportunity. Our commitment to provoking the evolution of asset management provides us with a perpetual hunger for knowledge that we believe drives the improvement of our particular approach to investment. We seek to harness the complexities of global derivatives markets with disciplined strategic insight, an experienced, accomplished team and advanced technology to create sustainable value. We’ve created a particular approach to investment that we believe drives continuous improvement and opportunities for our clients, team and industry.

Responsibilities and Impact:

Capstone Investment Advisors, LLC seeks an Associate, Treasury Quant in New York, NY to develop internal analytics and reports to monitor counterparty metrics, funding markets, and Treasury Profit and Loss (Pnl). Requires a Master’s degree or foreign equivalent in Mathematics or a related quantitative field and two (2) years of experience building, structuring, and deploying production-level computational financial models on behalf of a financial institution, including mark-to-market valuation models, volatility surface models, and data pipelines with SQL and Python; utilizing object-oriented programming, modular software design including GitHub version control, and automated testing frameworks to process and transform large-scale datasets; systematically valuing derivatives portfolios utilizing theoretical foundations and applied implementation of pricing methodologies for derivatives including European, American, and exotic options to generate validated analytical outputs; formulating and solving cost-minimization problems within derivatives portfolios subject to market, operational, and contractual constraints using mathematical optimization techniques including linear programming and least-squares optimization; designing calibration workflows that systematically reconcile internal valuations with market-observable and broker prices, identifying discrepancies, and producing validated, auditable pricing inputs; sourcing and processing derivatives market data from external pricing services and market data providers to calibrate internal price marks including Bloomberg and S&P Global; and analyzing structure, conventions, and pricing dynamics of derivatives markets including instrument mechanics, settlement conventions, and how supply-demand factors and market conditions drive derivatives valuations. Telecommuting and/or working from home may be permissible pursuant to company policies.