Senior Risk Engineer

About the role

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, Capstone has sought to anticipate and harness the complexities of world markets, creating unique opportunities for its clients, team, and industry.

This is a hands-on role within Risk Technology at the Senior Vice President level, 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. 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, alongside the opportunity to help shape the next generation of Capstone’s Risk Technology platform.

Responsibilities and Impact

• Architect, build, and own production-grade components of Capstone’s Risk Technology platform, remaining close to the code, data, and users and designing for performance, scalability, reliability, and usability.
• Build and evolve scalable cross-asset risk capabilities spanning Greeks and sensitivities, stress scenarios, VaR, P&L vectors and attribution, limits, factor analytics, margin, and exposure aggregation.
• Partner directly with Portfolio Managers, Risk Managers, and Quant Research to solve complex derivatives, risk, and portfolio challenges, taking ideas from problem definition through to production.
• 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 scalable, explainable services, with clear treatment of model assumptions, calibration, validation, and controls.
• Advance Capstone’s Risk Intelligence strategy by building tools that turn research, risk analytics, and AI into practical investment insight—helping Portfolio Managers and Risk Managers analyze scenarios, understand book and factor exposures, diagnose P&L, and access validated analytics through natural language.
• Engineer and operate resilient risk services, integrating positions, market and reference data, and internal or third-party analytics, with strong testing, data lineage, and end-to-end ownership of production issues.
• Shape and deliver high-value components of the Risk Technology roadmap in partnership with Technology, Data, and AI teams, using common platforms, standards, and engineering practices and contributing to design reviews, code reviews, and knowledge sharing.

Requirements

• 7+ 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, with meaningful exposure to front-office or market-risk systems.
• A strong record of personally designing, building, and supporting production-grade risk, pricing, or trading systems, and owning complex projects from definition through delivery and support.
• Advanced Python/Java and SQL skills, together with strong proficiency in at least one comparable language; practical experience with APIs, distributed or event-driven architectures, databases, data pipelines, and large-scale processing.
• Strong understanding of derivatives and cross-asset risk analytics, including option pricing, Greeks, scenario analysis, and VaR. Knowledge of factor risk and margin analytics is desirable.
• Strong architecture and engineering judgement, with a focus on maintainability, testability, performance, controls, and operational resilience.
• Ability to critically assess model outputs, challenge assumptions, and trace discrepancies across data, calibration, methodology, and implementation, while explaining conclusions clearly to technical and non-technical stakeholders.
• Experience integrating internally developed and third-party pricing and risk libraries across asset classes, with strong attention to data lineage, reconciliation, consistency, and controls.
• Clear, concise communication and evidence of technical leadership through judgement, ownership, and delivery, with the ability to collaborate effectively with Portfolio Managers, Risk Managers, Quant Research, and engineering teams.

Bonus skills

• Hands-on experience applying machine learning, large language models, agentic tools, or AI-assisted development in a controlled production environment, including evaluation, access controls, monitoring, and human oversight.
• Experience designing and operating modern engineering and data platforms, including cloud infrastructure, containers, CI/CD, streaming, data lineage, and observability.
• Deep product and risk knowledge in at least one asset class, combined with a broad working understanding across multiple asset classes, including equities, fixed income, credit, commodities, and FX.

Benefits

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

Pay

The applicable base salary range for this role is $165,000 – $200,000 USD. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives and is eligible for an annual incentive plan.