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Associate, Trader - #293

Capstoneinvestmentadvisors • New York, New York

Job Description

<p><strong>We see the world differently at Capstone Investment Advisors. You will, too.</strong></p> <p></p> <p><span data-teams="true">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. </span></p> <p><span data-teams="true">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.</span></p> <p><strong>Responsibilities and Impact:</strong></p> <p>Capstone Investment Advisors, LLC seeks an Associate, Trader in New York, NY to implement systematic strategies including machine learning algorithms. Requires a Master’s degree in Financial Engineering or related field or equivalent and two (2) years of experience designing and building statistical models, including PCA-based factor risk decomposition, regression, and time-series models; developing structural models to quantify the reaction functions of major equity and fixed income index fund participants under funding, liquidity, regulatory, and balance sheet constraints; creating foundational risk analytics frameworks, including duration, convexity-gap, convexity-hedging feedback-loop, and OAS/extension-risk frameworks, to predict and anticipate rebalancing flows in Treasuries and Swaps; pricing IRS and Swaptions including performing discounting and forward curve construction and volatility surface calibration to quantify PV01, KRD, Vega, and convexity of long dated rate and volatility exposures to directly inform relative value strategies; performing Monte Carlo based scenario generation to design and evaluate customized stress scenarios for mortgage backed securities (MBS) basis risk (OAS), rates, and volume exposures against Treasury benchmarks; utilizing regression-based style analysis to create synthetic tracking portfolios; building and deploying hybrid LLM-based execution algorithms using Python and C++ to monitor and execute trades across multi-currency, cross asset portfolios; and developing data pipelines and SQL architecture to run VaR and Tail Risk simulations on multi-asset portfolios. Telecommuting and/or working from home may be permissible pursuant to company policies. </p> <p><strong>Benefits & Compensation Information:</strong></p> <p>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.</p> <p>Some benefits included in this role are:</p> <ul> <li>Training and development opportunities</li> <li>Robust Wellness Resources: Physical, Mental and Financial</li> <li>Time-Off, Retirement and Commuter Benefits</li> <li>Gym Reimbursement and other Discounts</li> </ul> <p>The applicable base annual salary range for this role is $150,000-$160,000. The base pay offered will be determined on factors such as

Job Reference ID: CF-169526 • Posted on CloudFrame Job Scanner