David – who co-authored the book – and Will review the key themes of David’s contributions, highlighting the practical implications and demystifying common disillusions of where data science fits into a decision maker’s tool kit.

The book, published in March this year, provides an overview of how digital transformation and data science can support decision making and offers a variety of perspectives on managing digital data.

Contributions from FNA’ers Kimmo Soramäki, Ivana Ruffini, Mikhail Oet, Tuomas Takko and Adam Csabay also featured in the book. The chapter FNA authored, Prudential Stress Testing in Financial Networks, provides a taxonomy of organizational problems facing firms operating in financial markets, and offers a comprehensive approach to information system design that addresses stress testing in networks.

The FNA Team’s work sits amongst contributions from over 20 global experts from both the private and public sectors.

The book can be purchased here: https://riskbooks.com/data-science-in-economics-and-finance

0:00 – Introductions
2:05 – What David’s chapter covers and why it is important for decision-makers
4:13 – Two insights for demystifying data science
6:48 – Advice for decision-makers for starting data science
9:23 – Core lessons decision-makers should draw from David’s chapter
13:05 – David’s vision for data science and its evolution

00:00:00: Introduction
00:02:13: Approaches to applying stress testing to intraday liquidity
00:09:42: What are some of the data and operational challenges in quantifying and measuring stress testing from an Intraday liquidity perspective
00:18:02: Important considerations when building a successful programme to address regulatory requirements
00:24;02: new techniques and consideration in intraday liquidity stress testing programme