Product Manager - Analytics Architecture

In this role you drive the analytics architecture and model delivery at scale for Bloomberg’s IPQA platform. You translate a bold vision into concrete outcomes across Terminal, Enterprise Data and Enterprise Products, ensuring consistency and transparency across models and client workflows. You collaborate with quant and engineering teams to advance shared calibrations and uniform model settings. You engage clients and leadership to communicate value and shape the analytics roadmap, staying ahead of regulatory and market trends. This is a hands-on, cross-functional leadership role at the intersection of finance, engineering and product strategy.

• Define and drive the analytics strategy in collaboration with quant, engineering and financial engineering teams, shaping analytics architecture and model capabilities across asset classes
• Lead multi-workstream programs end to end, coordinating product, engineering, quants, model validation and QA to deliver high-quality releases
• Gather, refine and translate stakeholder requirements into clear product specifications
• Manage analytics roadmap with engineering partners and bring domain-specific perspectives to evolve analytics capabilities
• Engage with clients across stages, from presenting the vision to supporting implementations
• Monitor regulatory developments and market trends to ensure roadmap meets current obligations and future demand

• 10+ years in financial technology, quantitative finance or related field within a major financial institution or technology provider
• Strong understanding of financial models and analytics and ability to question assumptions and tradeoffs
• Experience driving large, cross-team initiatives in dynamic environments
• Ability to articulate analytics architecture concepts to technical and non-technical audiences
• Strong knowledge of financial instruments across asset classes (derivatives, fixed income, structured products)
• Awareness of regulatory landscape and its impact on client analytics

• stakeholder management
• communication with both technical and non-technical audiences
• ability to navigate complex, cross-functional dynamics
• analytics architecture
• scalable analytics systems in large financial institutions
• familiarity with AI/ML in a quantitative/product context