What are the responsibilities and job description for the Product Manager - Enterprise Data Pricing - Equities position at Bloomberg?
Job Details
Enterprise Data at Bloomberg
Bloomberg'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 Bloomberg
Enterprise 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
Bloomberg'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 Bloomberg
Enterprise 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
