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Product Manager Analytics Architecture
Job Location:
Monthly Salary:
Posted:
26 September 2026 (13 hours ago)
Posted:
Application Deadline:
24 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Product Manager - Analytics Architecture
Location
London
Business Area
Product
Ref #
Description & Requirements
The Instruments Pricing & Quant Analytics (IPQA) group is responsible for the foundational instrument management data pricing risk and quantitative analytics capabilities that feed all of Bloombergs products. We work across Bloomberg Terminal Enterprise Data and Enterprise Products ensuring consistency and interoperability across all of Bloomberg.
Within this organisation the Instruments & Analytics Platform team delivers core instrument management lifecycle and scalable analytics that support Bloombergs cross-asset workflows.
Whats the role
We are looking for a senior product manager to run IPQAs analytics architecture and drive model delivery at scale ensuring our analytics continue to lead as client and market needs evolve. You will work at the intersection of quantitative finance engineering and product strategy translating a complex ambitious vision into concrete outcomes for Bloombergs clients across Terminal Enterprise Data and Enterprise Products.
At the core of this role is a founding conviction: analytics at scale require a model-agnostic design where the architecture enforces consistency and transparency across models asset classes and client workflows. You will work closely with our quant and engineering teams to shape and deliver this vision advancing a framework built on shared calibrations common numerical methods and uniform model settings across Bloomberg Terminal Enterprise Data and Enterprise Products.
You will manage large cross-functional initiatives navigate complex stakeholder dynamics with clarity and confidence and communicate the value and outcomes of our analytics to clients and senior leadership alike.
Well trust you to:
- 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
Youll need to have:
- 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
Wed love to see:
- 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
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Required Experience:
IC
About Company
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on ... View more
