Bloomberg Enterprise Data
Bloomberg's Enterprise Data continues to be a market leader and the enterprise data provider of choice for the financial services industry. Our offering includes market leading data, analytics and data delivery via a fully managed platform. Our committed customer base appreciates the quality of our content, completeness of our coverage, data delivery, technology and high touch client service model.
Bloomberg Risk & Investment Data Analytics (RIA)
The Risk & Investment Analytics team manages an award-winning suite of data products which includes Bloomberg’s Liquidity Assessment solution (LQA), Market Implied Probability of Default (MIPD), and Fund Analytics. These products combine Bloomberg’s vast database of reference data, pricing data and market data with innovative financial models to produce data-driven analytics that enable our clients to proactively manage credit and liquidity risk throughout the trade life cycle. The team also continues to innovate and develop new products for emerging and complex risks like physical risks associated with climate change, and geo-political risks.
The role:
As a Product Manager, you will join a highly motivated and successful team where you will focus on the development of powerful risk and investment analytics for our clients. You will be responsible for the end-to-end delivery of new and enhanced enterprise data products primarily focused on credit, counterparty, and climate risk management. Our product development process starts with market analysis and prototyping with clients, then leads to the technical implementation with engineering and quantitative research teams, and finally driving client adoption with the sales and marketing teams.
You’ll adapt your communication style according to your audience and be equally adept at collaborating with technical engineering and quant teams, as well as presenting to clients and soliciting feedback. You’ll also have excellent interpersonal skills as they are crucial to effectively collaborating with other internal teams and engage with clients. We need someone with the ability to approach challenges with creativity and passion; someone who has the courage to innovate and advocate for change and then deliver on those proposals. We’ll expect you to define the product vision, and then complete that vision in an agile environment.
Regarding domain expertise, you’ll have a solid understanding of best practices in credit and counterparty risk management as to the Buy-side or Sell-Side, quantitative financial modelling, understanding of risk analytics, and what our customers need from an analytics, workflow, and data perspective.
We’ll trust you to:
- Contribute meaningfully to the analysis, evaluation, and product vision for the suite of Risk & Investment Analytics product offerings
- Drive the development and market acceptance of Bloomberg as the standard for risk and investment analytics
- Understand client workflows and challenges, and identify their needs for new data and analytics
- Develop product specifications and prototypes
- Work closely with Engineering and Quant teams to enhance our existing products, deliver new product offerings, and integrate with other Bloomberg products to extend client adoption
- Manage the product backlog, and prioritization process
- Clearly connect with the product partners (clients, sales, and engineering), and collaborate to define new ways to integrate our products in our customer workflows
You’ll need to have:
- Strong academic background in an analytical and technical degree including, but not limited to: Finance, Engineering, Computer Science, Math, Physics, Statistics or Economics
- Minimum of 7 years of hands-on technical product experience in finance industry
- Solid understanding of financial markets in all major liquid asset classes and good knowledge of Bloomberg Data
- Deep understanding of statistical analysis, time series analysis, data mining, quantitative financial modeling
- Strong marketing skills with a point of view on product positioning and product adoption strategy
- Strong financial products knowledge ideally within a quantitative capacity with involvement in risk models including feature and model enhancements, model validation and working with large quantities of data.
- Experience working with engineering/technology and a track record of delivery and execution around product and content specifications, development and ultimate client delivery
- Excellent presentation and communication and interpersonal skills with an ability to present to management, build internal networks and client relationships across and outside of the firm.
- Strong organizational and project management skills with an ability to focus on product prioritization, execution and client delivery
We’d love to see:
- Experience integrating climate risk assessments (and other emerging risks) into traditional credit risk frameworks
