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Webinar
Live Webinar
Sustainable alpha doesn’t come from models alone, it starts with the strength of the signals that feed them. As investment strategies grow more complex and data environments more crowded, the real differentiator is no longer access to more information, but the quality, consistency, and historical integrity of the foundational data behind every insight. In this environment, weak inputs don’t just dilute performance, they undermine conviction.
In this webinar, we’ll explore how stronger data foundations translate into stronger signals. We’ll examine the critical role connected fundamentals play in shaping signal reliability, transparency, and longevity—and why standardized, point in time data and deep historical coverage are essential to understanding how alpha behaves in the real world, especially across shifting market regimes.
Join us to explore:
S&P Global Market Intelligence
Executive Director, Head of Product Management, Data Solutions
Chris has over 10 years of experience working in the financial services industry. He first joined S&P Global Market Intelligence in 2011 as a member of the financial modelling team. Currently, he is a Product Manager on the Data Management Solutions team, focusing on advancing our data feed products and offerings.
Prior to joining S&P Global Market Intelligence, Chris worked as an investment banking analyst for FBR Capital Markets. He graduated with a Bachelor’s Degree in Finance from the University of Virginia.
S&P Global Market Intelligence
Head of Product Management, Textual & Professional datasets, and Quantitative Signals
Aditya Sharma, CFA, is Head of Product Management for Textual and Professional Datasets, and Quantitative Signals at S&P Global Market Intelligence. He leads the development and execution of product strategies that deliver quantitative solutions built on raw and processed text, traditional and alternative data.
Aditya is a specialist in textual and quantitative analytics, with deep expertise in applying advanced machine learning and natural language processing techniques to financial data. He joined S&P Global in April 2021 and has previously held global roles in data science and strategy at Western Union Business Solutions in London and Social Market Analytics, Inc. in Chicago.
S&P Global Market Intelligence
Head of Business Development, Portfolio Analytics
Brian Connolly is the Head of Business Development for Portfolio Analytics at S&P Global Market Intelligence, where he leads the go-to-market strategy and drives client growth for the Portfolio Analytics business. With over 18 years of experience at S&P Global Market Intelligence, Brian has held leadership roles across several product specialist teams, including Portfolio Analytics, Sustainability, Money Market Directories (MMD), and Leveraged Commentary & Data (LCD). Brian earned a Bachelor of Arts in Business Economics from Brown University.
Please contact us if you need more information or have trouble accessing the webinar.