Data Analytics Solution Architect

1 day ago

London, Greater London, United Kingdom Bloomberg Full time
About Bloomberg's CTO Office

Bloomberg's CTO Office is responsible for developing innovative technical and product initiatives, driving the creation of next-generation infrastructure, hardware, and applications for the Bloomberg Terminal.

Our projects involve machine learning-powered products, cloud computing infrastructure and strategy, open source stewardship, natural language processing, and more.

We utilize our powerful enterprise products to serve a large and diverse client base from data-intensive analytics to trading.

The Bloomberg Quant Platform (BQuant) is a cutting-edge work - a platform for quantitative finance professionals to rapidly analyze data and research trading strategies.

Job Responsibilities
  • We are looking for an experienced professional with a background in designing and delivering data-driven products for large-scale data and quant analytics to help us create an industry-leading solution.
Data Solutions
  • Data solutions to enable customers to discover, access, and manage data to drive quantitative research, analytics, and application building in BQuant.
  • Liaison with our data-producing teams at Bloomberg to onboard new content, ensure data quality, design, and deliver turnkey data access.
Quant Analytics Libraries
  • Quant analytics libraries for users of BQuant and the rest of our team who are creating specific workflow solutions on top such as natural language processing (NLP), backtesting, trading systems integration, etc.
Roadmap and Backlog Ownership
  • Own the roadmap and backlog, taking into account external and internal customer input, product strategy, value propositions, competitor analysis, and operational requirements.
Thought Leadership
  • Be a company thought leader on data and quant workflows from trading strategy ideation to portfolio construction and management to trading and implementation.
ResponsibilitiesBackground and Experience
  • A minimum of 7 years of experience in quantitative research, portfolio management, or execution research ideally across multiple asset classes.
  • A minimum of 3 years of product management or equivalent experience within a leading financial institution or financial technology provider designing and delivering quantitative products including Python libraries and APIs.
Skill Set
  • Deep knowledge of use cases across buy-side and sell-side, asset classes, and different trading strategies.
  • Ability to effectively communicate and collaborate with engineers, UX, data scientists, and senior management.
Estimated Salary: $180,000 - $220,000 per year

This salary estimate is based on the required skills and qualifications, location, and industry standards.

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