Sr. Manager – Quantitative & Risk Infrastructure Product Owner

At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters – to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures.

THE ROLE

The Sr. Product Owner – Quantitative & Risk Infrastructure is responsible for defining and delivering the product vision, roadmap, and execution of platforms and capabilities that support quantitative investors and investment risk professionals across the firm. This role focuses on building scalable, well-governed infrastructure that enables quantitative research, quantitative portfolio construction and management and risk analysis and monitoring, while ensuring strong alignment with enterprise data strategies, risk frameworks, and software engineering best practices.

The role partners closely with investment leadership, risk leadership, and technology teams to ensure that quantitative and risk workflows are efficient, resilient, and extensible. The incumbent applies deep domain expertise in quantitative investing, risk analytics, and modern software platforms to guide complex prioritization decisions and drive outcomes that meaningfully improve investor productivity and investment risk insights.

• Requires specialized depth and breadth of expertise across quantitative investing, risk analytics, and technical platforms
• Leads complex, cross-functional initiatives that span investment, risk, and technology organizations
• Operate independently with guidance required only in the most complex or enterprise-impacting situations

May lead functional initiatives, platforms, or multi-team programs
 

WHAT YOU WILL DO

• Define and own the product vision and roadmap for quantitative infrastructure and risk-related platforms, ensuring alignment with the needs of quantitative investors, investment risk professionals, and the broader investment ecosystem.
• Partner closely with the CIO for Quantitative Solutions and the Chief Investment Risk Officers for Equity and Fixed Income to shape and prioritize quantitative and risk technology roadmaps that support current and future investment processes.
• Serve as the primary product interface between quantitative investors, risk teams, technology partners, and senior stakeholders, translating investment and risk needs into a clear, actionable product backlog.
• Drive the development of tooling and infrastructure that enables direct tool-building by quantitative investors, while ensuring consistency with enterprise architecture, data governance, and security standards.
• Establish and evolve pathways for accessing consistent, trusted data within the quantitative ecosystem, aligning platforms with strategic data stores and “golden source” data principles.
• Ensure core quantitative infrastructure is robust, scalable, and well-designed, reducing operational friction and enabling repeatable research-to-production workflows across teams.
• Apply strong understanding of risk frameworks and analytics, including:
• Equity risk models, sources of risk, and model usage
• Fixed income risk metrics and security-level analytics
• Integration of risk measures into portfolio construction, decision-support, and monitoring tools
• Guide product decisions related to optimizers, quantitative investment processes, and the effective use of internal and external vendor tools by quantitative and risk professionals.
• Collaborate with the Chief Product Owner for Investment Research and Quantitative Solutions Technology to ensure alignment across research, analytics, and quantitative platforms.
• ·Champion modern software development best practices across the product lifecycle, including Agile delivery, CI/CD concepts, and disciplined backlog management.
• Leverage emerging technologies, including AI-enabled capabilities, to accelerate development, enhance investor workflows, and improve the scalability and maintainability of quantitative platforms.
• Ensure platforms are designed with cloud-native considerations, including familiarity with Azure-based services and data platforms such as Snowflake, where appropriate.
• Build strong alignment with fundamental investment teams by understanding how fundamental investors leverage quantitative analysis and risk metrics to inform investment decisions.
• Promote th