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 systematicallySound software-engineering fundamentals, including testing, maintainability, performance and production support.
• Strong communication and collaboration skills, with an ability to work effectively with engineers, quantitative researchers, Risk Managers and investment professionals.
• A curious, motivated approach, with the willingness to take ownership, learn quickly and develop deeper expertise across both technology and financial markets.

Bonus skills:

• Experience working with derivatives, pricing, risk or trading systems in a front-office or market-risk environment.
• Product or risk knowledge in one or more asset classes, with an interest in developing broader cross-asset expertise.
• Experience with modern engineering and data technologies including cloud infrastructure, containers, CI/CD, streaming or observability.
• Exposure to machine learning, large language models, agentic tools or AI-assisted software development.
• Experience building dashboards, analytics or other investment-facing tools.

Benefits & Compensation Information:

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.

Some benefits included in this role are:

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

The applicable base salary range for this role is $160,000 - 190,000 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 base compensation, this role is eligible for an annual incentive plan.

To learn even more about being part of the team, visit us online: Careers - Capstone (capstoneco.com)

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