AI in Finance Summit
New York

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.

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".

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%.

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.

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.