Enterprise Data- Unstructured Data Product Manager
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Job Summary
Enterprise Data- Unstructured Data Product Manager
Location
London
Business Area
Product
Ref #
Description & Requirements
Enterprise Data at Bloomberg provides machine-readable feeds of news and other unstructured content as well as AI-powered analytics including sentiment and more. Text is at the core of what we do today with audio imagery and video increasingly in scope. Our client base includes major hedge funds asset managers and investment banks typically using our feeds and analytics for low latency and intraday trading market making quantitative investing and risk.
Whats the role
Were looking for a charismatic Product Manager to join a growing team of technologists to help drive and execute on product development across our unstructured datasets. Youll bring with you a few years working in a financial or technology firm in the machine learning/quantitative trading domain along with some programming and data management skills. Youll work alongside seasoned industry professionals gaining personal development whilst contributing your strong technical skills and a positive can-do attitude.
Well trust you to:
Understand client needs identify improvements and new use cases
Contribute to defining product development plans across text and other unstructured datasets
Drive engineering resources and execute planned development initiatives
Evaluate new unstructured data sources and assess their quality coverage and product potential
Create and update portfolios of client-facing technical documentation
Design protocols and tools to facilitate comprehensive product quality checks
Provide quantitative research to support client testing and onboarding
Serve as subject matter expert in client discussions sales meetings industry events
Youll need to have:
Bachelors or graduate degree in business finance or engineering-related field
5 years work experience in a financial or technology company
Hands-on experience working with unstructured text data - for example NLP text analytics large news or document corpora or LLM-based pipelines
Knowledge of Python or SQL. Understanding of how ETL pipelines work a plus.
Understanding of data structures algorithms machine learning quantitative trading.
Good written and verbal communication skills.
Sense of humor a plus.
Wed love to see:
Experience with non-text unstructured data: audio or speech imagery or video
Familiarity with multimodal machine learning embeddings or modern foundation models
Experience building or evaluating data labeling annotation or quality pipelines at scale
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture values and the people behind our success.
Required Experience:
IC
About Company
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on ... View more
