The banking sector is a data-intensive industry, with massive piles of paperwork 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 the following Data Science experts:

1. Chris Orwa: Lead Data Science at I&M Bank.

2. Donna Naishorwa: Data Scientist at Absa Bank.

3. Sharon Omwega: Data Scientist at NCBA Bank.

The following areas will be covered during the talk:

- Credit Scoring with Python: Sharon Omwega

- Customer Churn and Management: Donna Naishorwa

- Loan Delinquencies: Chris Orwa

Don't miss out!!! RSVP to attend .

Reach out to us on events@moringaschool.com in case of any questions.