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A leading financial information company seeks a Technical Product Manager to enhance its Data Platform for Pricing. This role involves defining and delivering services that leverage vast amounts of financial data to improve bond pricing solutions. Ideal candidates will have experience in software development, data management, and agile methodologies, alongside strong analytical and leadership skills.
Technical Product Manager, Data Platform for Pricing
Location
New York
Business Area
Product
Ref #
10043435
Description & Requirements
Bloomberg's Fixed Income Pricing group provides gold standard pricing services to the financial markets. Our solutions include products like BVAL, IBVAL Front Office, CBBT and BGN. We price over 3 million securities across all fixed income asset classes, including thinly traded and hard-to-price fixed income securities. Our customers rely on us to understand markets and analyze complex structures which allow them to make thoughtful investment decisions, which ultimately creates more value for the investor. Our mission is to drive greater transparency, liquidity and safety in global fixed income markets.
To produce this pricing data, we absorb billions of data points from hundreds of financial markets every day. We pipe this data through pricing algorithms which employ quantitative and machine learning techniques. This process produces high quality pricing that the market and our customers need. We also develop applications that provide intelligent analytics and transparency for these prices.
What's the role?
We are seeking a Technical Product Manager who would be responsible for defining, prioritizing, and delivering big data platform services that will better allow us to leverage our petabytes of financial data to produce our best-in-class bond pricing solutions. They would oversee the ongoing development of our Data Lake platforms along with partnering with other team members who are covering Market Data, Reference Data, low-latency intraday infrastructure, as well as other horizontal teams. They would work closely with engineers and other business peers to create product roadmaps, user stories, and specifications.
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