Demo

Product Manager - Production Workflows

Bloomberg
New York, NY Full Time
POSTED ON 2/16/2025
AVAILABLE BEFORE 5/15/2025

Bloomberg Lab (previously BQuant) is Bloombergs cloud-hosted data science platform designed specifically for financial markets. Bloomberg Lab combines a powerful python development environment with Bloomberg's comprehensive range of high-quality, market leading, multi-asset-class financial and alternative data sets.

See what people are saying about Bloomberg Lab :

  • Bloomberg founder, Mike Bloomberg : https : / / tinyurl.com / mike-bquant
  • Bloomberg CTO, Shawn Edwards : https : / / tinyurl.com / shawn-bquant
  • Bloomberg tech blog : https : / / tinyurl.com / bquant-platform

Your role

As a Product Manager for Production Workflows you will be responsible for the process to create and manage dashboards for Bloomberg Terminal users, scheduled workloads, and event driven workloads via our API. You will be a member of the Platform product team which is responsible for all foundational elements of the product e.g. all features which are agnostic of a specific financial workflow.

This is a high-leverage role in a very cross-functional environment so youll need to be comfortable wearing many hats and balancing technical expertise with business acumen.

Well trust you to :

  • Interview quants, data scientists and other stakeholders to deeply understand their workflows, synthesize feedback and map user requirements into tangible feature sets
  • Define and articulate a compelling vision for how users can use Bloombergs data science platform to create and manage dashboards for Bloomberg Terminal users, scheduled workloads, and event driven workloads via our API
  • Work with a talented engineering team to scope work, solve problems and manage the software delivery pipeline
  • Communicate across the organization to align efforts from many departments
  • Youll need to have :

  • A bachelors degree in Software Engineering, Mathematics, or a related field
  • 5 years of experience in a Product Management role
  • Deep knowledge of Python, especially Jupyter notebooks and Pandas
  • Experience with dashboarding tools such as Plotly Dash, Bokeh, Voila, Tableau, or Lookr
  • Strong organizational and communication skills
  • Willingness to roll up your sleeves and help out even when its not in your job description
  • Wed love to see :

  • Prior experience in financial services and an understanding of the investment research workflows
  • Familiarity with cloud technologies
  • If your compensation planning software is too rigid to deploy winning incentive strategies, it’s time to find an adaptable solution. Compensation Planning
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