Product Manager, Quant Platform Dashboarding - CTO Quant Platforms
New York, NY
Posted Sep 9, 2022 - Requisition No. 108432
BQuant Enterprise is Bloomberg’s brand new, cloud-hosted data science platform designed specifically for financial markets. BQuant Enterprise combines a powerful, Jupyter notebook-based development environment with Bloomberg's comprehensive range of high-quality, market leading, multi-asset-class financial and alternative data sets.
As a Product Manager, you’ll be responsible for designing the next-generation of our Python-powered Dashboarding solution. You’ll need to design the entire end-to-end experience; from Python code, to publishing workflow all the way through how consumers view and interact with user-developed dashboards.
This is a high-leverage role in a very cross-functional environment so you’ll need to be comfortable wearing many hats and balancing technical expertise with business acumen.
We’ll 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 Bloomberg’s data science platform (BQuant) to easily create, share and consume Dashboards and other interactive apps
- 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
- Define key elements of our go-to-market strategy and ensure a smooth product rollout
You’ll need to have:
- 5+ years of experience in a Product Management role
- Strong familiarity with 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 it’s not in your job description
We’d love to see:
- Prior experience in financial services and an understanding of the investment research workflows
- Experience with SQL
- Experience with public cloud providers such as AWS or Azure
- Experience with Kubernetes
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