State Street Investment Management is seeking a seasoned senior leader to oversee their investment research and risk technology strategy, aiming to define and execute a strategic vision for the tools and platforms that support investment models, research, performance, and risk analytics.
Requirements
- Deep familiarity with investment model lifecycle, research workflows, and enterprise risk analytics.
- Strong knowledge of vendor landscape (e.g., FactSet, Bloomberg, MSCI Barra, Tamale, Databricks).
- Advanced understanding of data science, AI/ML, and cloud architecture.
- Demonstrated ability to translate business needs into scalable, user-centric technology solutions.
- Experience with multi-asset class investment management, including public and private markets.
- Experience with multi-asset class investment management, including public and private markets.
Responsibilities
- Define and lead the global technology strategy for investment research and risk platforms, aligning with State Street IM’s investment philosophy and evolving product mix.
- Oversee technology for performance and risk analytics in support of the global investment teams.
- Deliver capabilities spanning model development, validation, performance attribution, and enterprise risk analytics across all public and private asset classes.
- Champion cloud adoption, modular architecture, and integration with strategic platforms such as MSCI, Tamale, and FactSet.
- Lead the investment research and risk technology team, fostering a high-performance culture with a focus on innovation, ownership, and delivery excellence.
- Manage vendor relationships, including research and risk analytics providers, ensuring robust integration, service levels, and contractual oversight.
- Oversee the technology lifecycle—from concept to adoption—across the platform’s global user base and various investment vehicles.
Other
- 15+ years of experience leading investment research and risk technology platforms in institutional asset management environments.
- Proven record of managing global teams across product, technology, and data domains.
- Exceptional leadership, relationship-building, and stakeholder communication skills.
- Bachelor’s degree in Computer Science, Finance, Engineering, or related field required.
- Advanced degree (MBA, MS Financial Engineering, CFA, or equivalent) strongly preferred.
