Senior Product Manager- AI Quant/Desk Strategy

Overview Our client is a global asset manager who is seeking a highly skilled Product Manager (Quant & Desk Strategy Focus) to partner with portfolio managers, desk strategists, and AI/technology teams in shaping next-generation investment tools and workflows. This is a key role that sits at the intersection of investment strategy, data analytics, and AI-driven product innovation , aimed at improving research efficiency, risk management, and alpha generation. The successful candidate will play a pivotal part in translating investment needs into scalable, AI-enabled solutions that enhance decision-making and drive platform excellence across the firm. Responsibilities Partnership with Investment Teams Collaborate closely with portfolio managers (PMs) and desk strategists to identify workflow inefficiencies and opportunities for enhancement. Translate business and quantitative requirements into actionable product roadmaps. Align solutions with investment strategies and execution workflows. AI Product Development & Integration Lead the design and implementation of AI-enabled tools that accelerate insights, streamline research, and support data-driven investment decisions. Identify and integrate relevant AI platforms such as Glean, Perplexity, and Cohere to enhance information retrieval, signal extraction, and workflow automation. Work with AI and data teams to ensure technical feasibility, scalability, and seamless integration across systems. Workflow & Delivery Excellence Champion platform and delivery excellence, ensuring all solutions are reliable, intuitive, and aligned with PM workflows. Maintain a strong focus on user adoption, satisfaction (CSAT), and performance outcomes. Drive best practices in documentation, stakeholder engagement, and iterative delivery. Data & Analytics Enablement Collaborate with quants and data engineers to define and refine data models, APIs, and analytics tools that support systematic research and risk analysis. Enable the efficient use of large datasets across trading, pricing, and portfolio risk processes. Stakeholder & Change Management Serve as the bridge between investment and technology teams, translating domain-specific requirements into technical specifications. Drive adoption of new tools and workflows within complex, regulated environments. Communicate product vision and value effectively across multiple senior stakeholders. Profile Requirements 8–12 years of experience in Product Management , Business Analysis , or Quant/Desk Strategy roles within financial services, hedge funds, or fintech. Strong understanding of quantitative finance , risk & pricing analytics , and trading desk workflows . Proven track record of leading end-to-end product lifecycles, from ideation and prioritization to rollout and adoption. Deep familiarity with AI and data-driven platforms, ideally including Glean, Perplexity, or Cohere . Exceptional stakeholder management skills with the ability to bridge technical and business perspectives. Familiarity with Python or analytical scripting (for credibility with technical teams; not hands-on coding required). Excellent communication, documentation, and presentation skills. Key Success Factors Ability to drive AI adoption across investment workflows. Delivery of scalable, user-centric platforms aligned with PM decision-making needs. Promotion of workflow integration, delivery excellence , and strong user satisfaction. Measurable contribution to alpha generation and operational efficiency. Details Seniority level : Director Employment type : Full-time Job function : Product Management, Strategy/Planning, and Information Technology Industries : Financial Services, Technology, Information and Media, and Investment Management #J-18808-Ljbffr