Tonia Durfee is a senior operational risk management leader with over ten years of quantitative risk modeling experience in progressive levels of management. Lately she is a US Head of Operational Risk Capital and Scenario Analysis responsible for capital buffer levels. Tonia’s solid academic foundation, such as PhD in Economics and Information systems, has supported her career. She has Her research interests reside in predictive and behavioral analytics, with natural language processing and artificial intelligence at its’ heart. After spending more than a decade in risk mitigation and identification functions, liaising with regulators and businesses, she is looking at innovative ways for applying predictive modeling to risk and compliance.
Director, Americas Operational Risk Management
Head of Solutions Delivery
Naresh Vyas has over 20 years experience in financial services including roles at Goldman Sachs, Citigroup, and Standard Chartered Bank prior to joining the Royal Bank of Scotland. He has a proven track record of delivering innovative capabilities into large financial services institutions, being awarded with the Best Digital Bank at both Citi and Standard Chartered.
He is responsible for driving and introducing new ideas into production, working closely with the architecture, data and CTO teams to ensure the safe passage of innovation activity into the hands of our customers
RBS, under his leadership, has deployed multiple innovative solutions internally and to customers, such as in the areas of Artificial Intelligence, Blockchain, Enterprise Social, and Cyber Security.
Naresh is also supporting the bank’s Innovation Education initiatives, which includes presenting at various bank events, partnering with Universities, and hosting RBS executives in major startup ecosystems, such as Silicon Valley, Israel, and in the UK FinTech community.
Head of Solutions Delivery
Royal Bank of Scotland
Global Artificial Intelligence Lead
Anand Rao is a Partner with PwC’s US Advisory practice, with over 26 years of industry and consulting experience helping senior executives structure, solve and manage critical issues facing their organizations. With a computer science and Artificial Intelligence background and over 15 years consulting experience he blends deep analytics and computational techniques to solve challenging business problems using creative solutions.
His work has included natural language processing, machine learning, behavioral economics, simulation modeling, global growth strategies, marketing, sales, and distribution strategies, online, mobile, social media strategies, customer experience, multi-channel integration, risk management and compliance, large scale program mobilization and management. Before his consulting careers, Anand was the Chief Research Scientist at the Australian Artificial Intelligence Institute, a boutique research and software house and has taught and supervised students at University of Melbourne.
Anand has also co-edited four books on Intelligent Agents and has published over fifty papers in Computer Science and Artificial Intelligence in major journals, conferences, and workshops.
Anand was awarded the Most Influential Paper Award for the Decade in 2007 from the Autonomous Agents and Multi-Agent Systems (AAMAS) organization