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Lead credit risk data scientist

Harnham - Data & Analytics Recruitment
Posted 9 days ago, valid for 4 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 Lead Credit Risk Data Scientist position in London offers a salary of up to £140,000.
  • This role is ideal for individuals who prefer building models over managing teams and want to influence the future of motor financing.
  • Responsibilities include building, validating, and deploying credit risk and fraud models, as well as analyzing portfolio performance.
  • Candidates should have experience in credit risk modeling or data science, preferably in fintech, banking, or consumer lending.
  • Strong Python and SQL skills, along with a solid understanding of credit risk modeling and statistical methods, are required for this position.

LEAD CREDIT RISK DATA SCIENTIST

LONDON

UP TO £140,000

If you love building models more than managing people, and you're excited by the idea of shaping the future of motor financing-this one's for you. You will be joining as an individual contributor, owning the Data Science function!

THE ROLE

  • Build, validate, and deploy credit risk, fraud, collections models
  • Analyse portfolio performance and monitor key risk indicators
  • Collaborate with data engineers to productionise and maintain model pipelines
  • Ensure compliance with relevant regulations and support model governance processes
  • Communicate insights clearly to technical and non-technical stakeholders

REQUIREMENTS

  • credit risk modeling/ data science role, ideally in fintech, banking, or consumer lending
  • Strong Python and SQL skills (Pandas, Scikit-learn, etc.)
  • Solid understanding of credit risk modelling, statistical methods

HOW TO APPLY

Please apply below...

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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.

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