Job Details

ID #53233365
Estado New York
Ciudad New york city
Fuente Bloomberg
Showed 2025-01-08
Fecha 2025-01-08
Fecha tope 2025-03-09
Categoría Etcétera
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Product Manager - Enterprise Data Pricing - Equities

New York, New york city
Aplica ya

Enterprise Data at BloombergBloomberg's Enterprise Data business has developed a strong reputation for delivery, execution and client partnership and is considered market leading by the financial services industry when it comes to data solutions that solve complex and foundational enterprise data needs.Pricing at BloombergEnterprise Pricing Business is focused on providing pricing datasets across all listed and non-listed securities. We have built best-in-class data offerings that service client demand for completeness, timeliness, and high-quality pricing data. The business is core to our Enterprise Data offering with many asset categories including, equities & indices, ETFs/funds, fixed income securities and listed & OTC derivatives.The Role:We are looking for an exceptional Equities Product Manager with strong knowledge around pricing and pricing driven analytics for all types of Equity and Equity ‘like’ financial instruments – Cash, Listed Derivatives, Indices & ETFs/Funds. The individual will enhance & expand our Pricing product offerings, with a view to increase client adoption and data usage.You will have verifiable experience and a deep understanding of how financial instruments are traded, analyzed and marked-to-market. You will also be expected to have knowledge of how market and pricing data is used by both buy & sell side institutions across the trade life cycle – market making, risk management, investment analysis, research & IPV functions. You are curious, creative and passionate about building best-in-class enterprise data products that solve client needs. You are current on industry trends and can understand the diverse and often complex use cases within this space and are able to build partnerships with clients to understand their problems and challenges.You will be responsible for documenting our target client challenges and needs, and then the design, prioritization, milestones and execution of a strategy and product rollout in collaboration with core and extended stakeholders. This will include defining product level and overall go-to-market and success metrics.We’ll trust you to:

Define and articulate clear strategies, goals and initiatives that drive predefined and clearly articulated business outcomes

Display product management skills and effectively manage data product specification, prioritization, and backlog by continually addressing business needs through an agile process

Partner with Engineering, Support organization and Data operations to ensure deliverables are well understood and align with the overall business goals

Develop a strong relationship with a core group of clients that will partner with us to expand our understanding of their key challenges and evolve our offering through ongoing dialogue and experimentation to systematically solve their challenges

Be the subject matter expert, as well as the accessibility, usability, quality, tools and services available to clients that allow them to deepen their interaction and usage of our content

Work with Marketing and Sales to promote and attain our desired business outcomes and continuously drive adoption

Drive an agenda and influence our stakeholders to deliver on our strategies, goals, and initiatives

You’ll need to have:

5+ years experience as a Product Manager or related role

A deep understanding of Equity and Equity ‘like’ instruments (cash and listed derivatives), as well as the way in which market participants trade and risk manage these instruments across buy-side and sell-side and the role of custodians, fund administrators and prime brokers.

Knowledge of Private Equity valuations

An understanding of how enterprise clients identify, test, and evaluate financial datasets across vendors before making purchasing decisions and basic concepts of data pipelines including data lakes, data warehouses, ETL, normalization, linkage, etc

Proficiency in statistics and data science techniques and tools such as Python, R, cloud computing, SQL

Prior experience working with multiple stakeholders to deliver projects and initiatives and an understanding of agile principles

Strong communication and networking skills with the ability to distill complex topics into an easy-to-understand narrative

Salary: 140000,295000,USD,AnnualBloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amerrecruit@bloomberg.net

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