Risk-Based Decisioning in an Age of Uncertainty Part 2

In this podcast Zeynep Salman, Head of Risk Decisioning, EMEA at SAS, will explore the top trends and market practices for financial institutions as they adapt to digitizing credit decisioning.

We will dive deeply into key success factors for establishing innovative credit customer journeys while achieving successful business outcomes that keep the lending business profitable. We will also discuss how a country’s regulatory requirements and market dynamics can affect the transformation journey.

Link from today’s discussion can be found here:

The Value of Credit Risk Transformations and the Role of AI

Speaker’s  Bio

Zeynep Salman is a credit risk professional with experience managing originations, customer management, and collections teams for consumer and small business portfolios. She joined SAS in 2022 and is currently leading risk decisioning advisory activities across EMEA. Zeynep is passionate about driving automation, seamless customer experiences, convergence of credit and fraud evaluations across customer lifecycle, AI-driven customer engagements, and working with clients to support near and long-term strategic roadmaps to drive value.

Before joining SAS, Zeynep held key roles at financial institutions including Citibank, HSBC, Toyota Finance, and UniCredit, as well as software vendors such as FICO.

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Over the years, GARP and SAS have partnered to bring risk practitioners unique insights on a variety of topics related to risk management. Now we present a series of podcasts focused on making financial risk-based decisions in light of the rapid evolution of artificial intelligence and machine learning.

About SAS

As a leader in analytics, SAS’ award-winning capabilities in analytics, risk management, and other technology areas have helped customers across the globe solve their toughest and ever-evolving business problems. Its unrelenting commitment to innovation enables organizations across financial services to modernize and sustain a competitive edge. Through the latest developments in machine learning, natural language processing, forecasting, and optimization, SAS supports diverse environments and scales to meet changing needs. Learn more about how SAS is driving innovation and business value for risk and finance professionals at www.sas.com/risk