We’re Bloomberg Enterprise Data - fast paced, innovative and expanding. We partner closely with our clients, taking time to understand their unique businesses and individual data and technology needs. Our endless selection of datasets, covering all asset types, with multiple delivery technologies and flexible scheduling mean our clients are able to get exactly the data they need, when they need it, in the format they prefer.

We'll trust you to:

• Define our product strategy for packaging and structuring data to support quantitative research
• Serve as subject matter experts in data science workflows and technology for capital markets use cases
• Communicate effectively with internal stakeholders
• Drive product strategy and execution roadmap

Your ideal skills & background:

• You have worked on the buy side for 5-10 years as a quantitative researcher or data engineer
• Worked with large data sets, including unconventional data sources, for back-testing and implementing production trading models
• Experienced with scripting languages (e.g. Python), analytical packages (e.g. R, Matlab), compiled languages (e.g. C++), and cloud technologies
• A background demonstrating analytical problem-solving skills
• Experienced with machine learning and AI techniques
• Bachelor's degree or equivalent work experience in STEM field. Master’s degree or PhD preferred