Data Science in Banking
The banking sector is a data intensive industry, with massive piles of paper work ranging from customer details, transaction receipts to credit data. Data Science has emerged as a required skill and necessary technology for risk management in the Banking sector.
So how do banks apply data science to ensure risk management and strategic operational success? How has data science helped the banking industry move from standard and traditional ways of data management and operations?
In collaboration with Afterwork Fellowship we have organized a couple of events to give you a closer look at Data Science in Banking.
To kick us off on this first event of the series we will be joined by Data Science experts who will cover the following during the industry talk:
- Credit Scoring with Python: Sharon Omwega
- Customer Churn and Management: Donna Naishorwa
- Loan Delinquencies: Chris Orwa
Don't miss out!!! RSVP here to attend.
Reach out to us on email@example.com in case of any questions.