Advanced Analytics to Optimise Consumer Lending Webcast The availability of large volumes of internal, external, social media data, along with advances in analytics and the advent of machine learning have created the perfect opportunity for optimising consumer lending decisions. Not sure how to create a plan for your own organisation? Attend this webinar to learn how to put an Advanced Analytics approach to optimise consumer lending decision making. Key Learnings: Recognise a sample Advanced Analytics plan that can be customised for your needs Examine a “best in class” consumer lending strategy Predict how Advanced Analytics can help you better understand the factors impacting consumer lending decisions Summarise what Advanced Analytics can contribute to your consumer lending customer experience Speakers: Suresh Baral Managing Director, Protiviti Suresh is a Managing Director in Protiviti’s Model Risk practice within the Data Management and Advanced Analytics solution. He has 20 years of experience in leading model development and model validation; economic capital modeling, stress testing, loss forecasting, managing credit risk of consumer loan portfolios, and improving portfolio performance through use of analytical data driven approaches. John Harris Senior Manager, Protiviti John is a Senior Manager in Protiviti's Advanced Analytics practice. He has over 16 years of direct experience in the airline, utility and financial services industries applying a strategic thinking and advanced analytical skill set to build predictive models, optimise resources, improve processes and develop quantitative models that turn data into decision-aid information for all levels of leadership. As a Ph.D. student and National Science Foundation fellow, John's research focus required the creation of predictive models and was supported/funded by Delta Air Lines and Lockheed Martin. Siddharth Ojha Senior Consultant, Protiviti Siddharth is a consultant on the Model Risk team within the Data & Analytics Solution practice at Protiviti. He specialises in model development, model validation and predictive analytics. His experience include pricing securities using statistical models, customised backtesting and scenario analysis. Siddharth also interned at Algorithmic Capital markets, a hedge fund specialising in Quantitative trading. Siddharth graduated from Rutgers University with a M.S. in Quantitative Finance and has also completed certification courses in Machine Learning for Data Analytics and Applied Mathematics for Financial Applications. Duration: 57 minutes Access Recording
