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Vice President Security and Decision Products
The World Bank
ING Wholesale Bank Advanced Analytics
Global Head of Credit Trading
ING Wholesale Bank
Director, Portfolio Analytics
Bank of America Merrill Lynch
Haven Life (Mass Mutual)
Associate Professor of Finance
University of Maryland
Industry Assistant Professor
New York University
Global Head of Data Science
Principal Machine Learning Auditor
Mastercard announced its Early Fraud Detection System late last year which seeks to give issuers advance alerts for cards and accounts that are put at higher risk due to data breaches which is critical in effectively preventing fraud. Layering in the AI component further to boost Mastercard's fraud detection capabilities to this end.Read More
The World Bank has been a data-driven organization since its inception. It is a recognized leader in production of data and cross-country indicators, which are ultimately used to unlock growth, policy improvements, and research in developing economies. "I am happy to be a part of the Big Data Program here at the Bank. It is a small, tightly knit team with distinct cross-cutting functionality".Read More
ING has won plaudits for its early adoption of fintech in retail banking and recently introduced its new AI bond trading tool “Katana”. Santiago Braje said ING’s approach was unique as the AI empowers traders instead of replacing them. In a 6 month trial at ING’s emerging markets desk, the AI tool led to faster pricing decisions for 90% of trades, and cut trading cost by 25%.Read More
Agnes applies her main areas of expertise in Mathematics - Stochastic Control, Hamilton-Jacobi equations, Partial Differential Equations, numerical and simulation techniques - to applications in Finance such as portfolio optimization, pairs trading, credit and liquidity risk and bank regulations. By conducting research in Quantitative Finance, Agnes aims to solve industrial problems.Read More
At Capital One, Andrew is establishing approaches for auditing and interpreting machine learning algorithms along with building machine learning tools to optimize the audit process. With ML becoming ever more ingrained within organizations, the need for an objective verification of their assumptions is needed. Internal and external auditors are in the perfect position to provide this assurance.Read More
Discover advances in machine learning tools and techniques from the world's leading innovators across industry, academia and the financial sector. Speakers will share insights into recent breakthroughs in technical advancements and fintech applications including financial forecasting & compliance.
Learn about machine learning applications in the financial sector from algorithms to forecast financial data, to tools used for data mining & pattern recognition in financial time series, to scaling predictive models, to stock market prediction, to using blockchain technology.
A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the machine learning revolution. Learn from & connect with 200+ industry innovators sharing best practices to improve regulations, security and risk in the financial sector.