Overview
As financial professionals continue to innovate upon their investment, execution and risk management processes, access to high quality data solutions has never been more critical.
Bloomberg’s Investment Research Data Solutions offers a comprehensive suite of point-in-time data products across structured and semi-structured content consisting of: Company Fundamentals & Estimates, Company KPIs, Supply Chain, Consumer Credit and Debit Transactions, News, Economic Forecasts, and Tick Data inclusive of OHLC bars to power decision making across Equities, Fixed Income, Commodities and FX.
Join us for an exclusive seminar to explore Bloomberg’s cutting-edge data solutions and hear from industry experts as they explore recent product advancements and showcase how Bloomberg’s powerful data solutions and API’s support the full research life cycle from idea generation and strategy development to execution and risk management. The event will conclude with a networking reception offering opportunities to connect with peers and Bloomberg’s Research and Data Science teams.
Agenda
- 2:00pm-2:30pm: Registration & Coffee
- 2:30pm-2:45pm: Introduction and Overview of Bloomberg’s Investment Research Data Solutions
- 2:45pm-3:10pm: Breaking Down the Basics & Connecting to Deep Research
- 3:10pm-3:30pm: Data Driven Insights Using Traditional and Alternative Data
- 3:30pm-3:50pm: Reacting to Market Events with News
- 3:50pm-4:05pm: Simplifying Your Workflows with DL+ and Python API
- 4:05pm-4:15pm: Closing Remarks
- 4:15pm-5:30pm: Networking & Cocktails
Speakers
Andrew Fleet
Andrew Fleet leads the Research Data sales team at Bloomberg. He is responsible for leading and developing his team in one of the company’s largest growth areas. Prior to this, he held various roles within Enterprise Data and Core Terminal Sales. Over the last 12 years, Andrew has worked across a broad variety of buy-side and sell-side customers, specializing in Bloomberg’s technology suite, Data Management suite and Research suite. Andrew received his BA in Finance and Accounting from the Lerner College of Business and Economics at the University of Delaware.
Michael Beal
Michael Beal is the head of Data Science for Bloomberg Enterprise Data, North America. His team is responsible for helping define Bloomberg Enterprise Data’s A.I. Strategy, publishing data-driven research and prototyping new products and solutions for quantitative and A.I. workflows.
Prior to joining Bloomberg, Michael was the co-founder of J.P. Morgan’s Intelligent Solutions group, where he led the build of the industry’s first machine learning approach to Collateral and Counterparty Risk Optimization for OTC derivative products. After J.P. Morgan, Michael spent 8 years leveraging proprietary cloud technologies and Generative A.I. to systematically manage U.S. equity portfolios for family offices.
Michael graduated from Harvard College with Honors in Economics and Harvard Business School with distinction.
Sundeep Agrawal
Sundeep Agrawal is a Senior Product Manager at Bloomberg. Prior to joining Bloomberg LP, Sundeep spent 15 years on the buyside at different hedge funds as a portfolio manager and research analyst investing in credit and equities. Earlier in his career, he worked in the Fixed Income division at Lehman Brothers. Sundeep received his MBA from New York University’s Stern School of Business, an MS in Systems Engineering from The University of Texas at Austin, and a BS in Electronics Engineering from Delhi Institute of Technology, India.
Nausher Sukhera
Nausher is a Product Manager at Bloomberg LP for machine-readable news data and analytics. Prior to joining Bloomberg, he worked as a Product Manager in the financial services industry for 10 years. In his free time, he likes to hike and learn more about technology and public policy.
He graduated BA in Economics from New York University.
When & Where
Wednesday, May 14, 2025
2:00pm – 5:30pm
Bloomberg Office
111 South Wacker Drive
49th floor
Chicago, IL 60606