Product Manager - Analytics Architecture

at Bloomberg

📍 New York City, United States

USD 140,000-295,000 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Machine Learning @ 4

Details

The Instruments, Pricing & Quant Analytics (IPQA) group is responsible for Bloomberg's foundational instrument management, data, pricing, risk and quantitative analytics capabilities that feed Bloomberg Terminal, Enterprise Data and Enterprise Products.

The Instruments & Analytics Platform team delivers core instrument management, lifecycle and scalable analytics supporting Bloomberg's cross-asset workflows. This role will lead IPQA's analytics architecture and drive model delivery at scale, ensuring analytics continue to evolve with client and market needs.

Responsibilities

Define and drive the analytics strategy in collaboration with quantitative, engineering and financial engineering teams.
Advance the analytics architecture and model capabilities across asset classes.
Translate client, sales and specialist partner needs into clear product direction.
Lead complex, multi-workstream programs end to end across product, engineering, quantitative, model validation and QA teams.
Gather, refine and translate internal and external stakeholder requirements into actionable product specifications.
Lead the analytics roadmap and shape the continued evolution of analytics capabilities with engineering partners.
Engage directly with clients by presenting the analytics vision, gathering requirements and supporting successful implementations.
Monitor regulatory developments and market trends that affect client analytics needs.
Advance a model-agnostic analytics framework based on shared calibrations, common numerical methods and uniform model settings across Bloomberg Terminal, Enterprise Data and Enterprise Products.

Requirements

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, gained through a technical, front-office or product role.
Experience driving large, complex initiatives across multiple teams and stakeholders.
Ability to define and explain analytics architecture concepts to 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.

Preferred Qualifications

Familiarity with scalable analytics systems in large financial institutions or technology providers.
Experience with artificial intelligence or machine learning in a quantitative, product or technology context.
Direct client engagement experience through onboarding, implementation or advisory interactions with senior stakeholders.
Experience leading major regulatory programs, building systems from scratch or delivering large-scale initiatives across large organizations.
Experience with payoff languages or domain-specific languages used in financial contract representation.

Benefits

Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance and wellness programs. Compensation also includes potential bonus eligibility.