Enterprise Data- Unstructured Data Product Manager
Location
London
Business Area
Product
Ref #
10052312
**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.
Whatu2019s the role?
Weu2019re 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. Youu2019ll 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. Youu2019ll work alongside seasoned industry professionals, gaining personal development whilst contributing your strong technical skills and a positive, can-do attitude.
Weu2019ll 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
Youu2019ll need to have:
Bacheloru2019s or graduate degree in business, finance, or engineering-related field
5+ yearsu2019 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.
We’d 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
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
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Bloomberg 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 amer_recruit@bloomberg.net…