The Team:

Capstone is looking to appoint a Senior Risk Engineer at Senior 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 requires deep technical contribution, end-to-end ownership and the ability to shape outcomes through strong judgement, delivery and collaboration. It offers broad exposure across strategies and asset classes, together with the opportunity to help shape the next generation of Capstone's Risk Technology platform.

We are building a high-performing team that values ownership, collaboration and solving difficult problems. We encourage curiosity and new ideas, alongside the discipline and reliability needed to deliver and support critical production systems.

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 analyse 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.

Our future colleague has these skills:

• 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 & 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 $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.

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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