The COVID-19 pandemic has led to a breakdown of Risk models across banks. The global economic crisis of this magnitude has led to a sudden shift in the credit profile of the customers. It has also unearthed the flaws in the underlying risk assumptions by banks based on a stable state.
To cope up with this volatile scenario banks needs not only advanced AI and ML algorithms-based models but support agile services which can take care of high-frequency data. Our risk offering combines our proprietary AI and ML based platform, with a agile risk mitigation framework to maximize risk-adjusted returns for banks.
In this webinar we have covered different dimensions of our data science and analytics-driven approach for accelerated credit decisioning, which includes:
- Responding to a sudden shift in the credit profile of customers through effective early monitoring triggers
- COVID command center for banks by rapid identification and quantification of bank’s risk exposure
- Develop roadmap and strategies to mitigate the short, medium- and long-term impact of COVID-19
About the speaker
Divey Sharma
Director, Analytics and Data Science at Incedo Inc.
Divey is seasoned analytics professional with strong experience in leading teams, responsible for designing impactful data driven solutions for banking domain across multiple geographies, businesses and functions.
