Data Scientist (Credit Risk)
Job Description
Data Scientist (Credit Risk)
London
Hybrid
Up to £80,000
The Company
I am hiring for a lending fintech based in London who is looking to bring in a Credit Risk Data Scientist to build scorecards and other credit risk models across the credit risk customer lifecycle using SQL and Python to drive revenue and profitability.
The Role
What you will do as a Credit Risk Data Scientist:
- Developing scorecards across the credit risk customer lifecycle
- Analyse large datasets to extract meaningful insights to drive model development.
- Developing models working with other functions for collections and acquisitions scorecards
- Developing pricing models for Credit Risk.
- Developing application and behavioural scorecards
- Using SQl and Python daily to develop credit risk models and improve the credit risk scorecard models across the customer lifecycle.
Requirements:
What you need to be successful as a Credit Risk Data Scientist:
- Strong experience developing models within lending.
- Experience at a fintech/fast-paced company
- Experience developing/building credit risk scorecards.
- Strong experience developing credit models end-to-end.
- Strong experience using SQL and Python to develop models.
- Numeric degree from a top university.