Risk Engineer

Risk Engineer

New York, New York, United States

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

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 306 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.

The Team:

Capstone is looking to appoint a Risk Engineer at Associate or Vice President level within Risk Technology. This is a hands-on role combining software engineering, risk and financial markets, with direct exposure to the investment process. You will design and build investment-facing risk and decision-support capabilities, remaining close to the code, data and users from initial problem through to production.

This is an opportunity to build the technology behind Capstone's Risk Intelligence strategy - turning complex risk and portfolio data into timely, actionable intelligence. You will develop tools that help Portfolio Managers and Risk Managers understand what changed, what drove it and what action to consider across stress scenarios, risk factors, margin, liquidity and portfolio analytics. The work will directly support sizing, trade expression, hedging, portfolio construction and capital allocation - helping drive better decisions, more efficient capital and more repeatable alpha.

You will work closely with Risk Managers, Portfolio Managers, Quant Research and the wider Technology, Data and AI teams. The role offers broad exposure across strategies and asset classes, with the opportunity to take ownership of meaningful components of the Risk Technology platform and develop deep expertise across software engineering, derivatives and risk analytics.

Responsibilities and Impact:

• Build and enhance production-grade components of Capstone's Risk Technology platform, with a focus on performance, reliability, scalability and usability.
• Develop cross-asset risk capabilities spanning Greeks and sensitivities, stress scenarios, VaR, P&L vectors and attribution, limits, factor analytics, margin and exposure aggregation.
• Work directly with Portfolio Managers, Risk Managers and Quant Research to understand investment and risk problems and translate them into effective technical solutions.
• Build APIs, data pipelines and interactive decision tools that help users understand what changed, what drove it and what action to consider at trade, POD, strategy and fund level.
• Translate pricing and risk methodologies into robust production implementations, with appropriate treatment of model assumptions, calibration, validation and controls.
• Contribute to Capstone's Risk Intelligence strategy by building tools that turn research, risk analytics and AI into practical investment insight.
• Develop and support resilient risk services, integrating positions, market and reference data and internal or third-party analytics, with strong testing, monitoring and data quality controls.
• Collaborate with engineers across Technology, Data and AI, contributing to design reviews, code reviews, engineering standards and the ongoing development of the Risk Technology platform.

Our future colleague has these skills:

• 3–8 years of relevant experience in software engineering, quantitative development or risk technology within a hedge fund, asset manager, investment bank or comparable capital-markets environment.
• Experience building and supporting production software, ideally within risk, pricing, trading or other front-office applications.
• Strong Python / Java and SQL skills, together with experience in another object-oriented language; familiarity with APIs, databases, data pipelines and distributed systems.
• Good understanding of derivatives and risk analytics, including some combination of option pricing, Greeks, scenario analysis, stress testing or VaR.
• Strong analytical and problem-solving skills, with the ability to investigate issues across data, models and implementation and work through problems systematically.
• Sound software-engineering fundamentals, including testing, maintainability, performance and production support.
• Strong communication and…