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Credit Risk Data Scientist

Harnham - Data & Analytics Recruitment
Posted 21 hours ago, valid for 17 days
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The position is for a Credit Risk Data Scientist at a lending fintech based in London, offering a salary of up to £80,000.
  • The role involves developing scorecards and credit risk models using SQL and Python throughout the credit risk customer lifecycle.
  • Candidates should have strong experience in credit risk models and have worked in a fintech or fast-paced environment.
  • Experience in developing credit risk scorecards and end-to-end credit models is essential.
  • A numeric degree from a top university is required, along with proficiency in SQL and Python.

Credit Risk Data Scientist

London

Hybrid

Up to £80,000

The Company

I am hiring for a lending fintech based in London who are looking to bring in a Credit Risk Data Scientist to build scorecards and other credit risk models across the credit risk customer life-cycle using SQL and Python.

The Role

What you will do as a Credit Risk Data Scientist:

  • Developing scorecards across the credit risk customer lifecycle
  • Analyse large data sets 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.
  • 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 working within credit risk models.
  • 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.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.