Pooja Bansal is an Assistant Vice President at Barclays US focusing on Credit card business. In this role, she advises the service priorities and service level agreements to the technology teams and highlights service risks to the business or service consumer in the areas of Fraud Strategy and Operations. In addition, Pooja supports the continuous service improvement actions using best practices and frameworks like ITIL for the better management of business risks and service disruptions. Before joining Barclays, she worked as an IT Consultant at SEI Investment Company for over seven years. During her tenure at SEI, Pooja served as an active member of SEI women’s network, where she ran several initiatives to promote women into technology and leadership roles and organizes various knowledge enrichment programs. Pooja has a B.Tech in Information Technology from Kurukshetra University, India and currently pursuing an M.B.A. from The Wharton School, University of Pennsylvania. She enjoys spending time with her son, Anay (5), as well as traveling with her family.
Cybersecurity and Fraud Prevention
Cyberattacks, financial crimes, and fraud incidents are becoming more common these days. In every couple of months, we are hearing news of data breach and how personal information of millions of consumers have been compromised. While technologies and processes have made advances in risk management, cybersecurity, and fraud prevention, there is a human element where we all need to be vigilant and take necessary actions to protect ourselves. The important thing is to understand the most common type of frauds attacks to ensure the appropriate conduct. This rule of vigilance applies to both the parties, the organization holding our personal and financial information and us, as a customer. Also, each party needs to keep another party accountable for their share of security and awareness. We will briefly talk about the role of ML/AI (Machine Learning) in the cybersecurity world and finally, how to make smart choices to protect ourselves from fraud.