Product Manager - Analytics Architecture

Define and drive the analytics strategy in close collaboration with our quant, engineering and financial engineering teams, from advancing our analytics architecture to advancing our model capabilities across asset classes, translating needs from clients, sales and specialist partners into clear product direction

Lead complex, multi-workstream programs end to end, coordinating across product, engineering, quants, model validation and QA teams to ensure high quality releases to clients

Gather, refine and translate requirements from a broad range of internal and external stakeholders into clear, actionable product specifications

Lead our analytics roadmap, working collaboratively with our engineering partners and bringing strong domain-specific views to shape the continued evolution of our analytics capabilities

Engage directly with clients across all stages, from presenting the analytics vision to gathering requirements and supporting successful implementations

Stay ahead of regulatory developments and market trends that shape client analytics needs, ensuring the analytics roadmap reflects both current obligations and forward-looking demand

10+ years of experience in financial technology, quantitative finance or a related field within a major financial institution or technology provider

Strong understanding of financial models and analytics, whether gained through a technical, front office or product role. What matters is that you have been close enough to the process to question assumptions, understand tradeoffs and influence how analytics are built and delivered

Experience driving large, complex initiatives across multiple teams and stakeholders, with a track record of delivering results in dynamic, fast-moving environments

Ability to define and articulate analytics architecture concepts to both technical and non-technical audiences

Strong knowledge of financial instruments across asset classes, including derivatives, fixed income and structured products

Awareness of the regulatory landscape and how evolving requirements shape client analytics needs

Familiarity with scalable analytics systems in large financial institutions or technology providers, and an understanding of what it takes to continue scaling them

Some experience with AI or machine learning, whether in a quantitative, product or technology context

Direct client engagement experience, whether through onboarding, implementation or advisory interactions with senior stakeholders

A track record of getting things done in high complexity environments, demonstrated through leading a major regulatory program, building a system from scratch or delivering a large scale initiative across a large organisation

Experience with payoff languages or domain specific languages used in financial contract representation