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Senior Data Scientist

Harnham
Sheffield
1 week ago
Applications closed

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Senior Data Scientist – Credit Risk Modelling

£70-100,000 (dependent on experience)

REMOTE WITHIN UK

THE COMPANY

This is an exceptional opportunity to join a well-funded fintech startup at a pivotal moment in its journey. With backing from respected investors and a founding team experienced in launching and scaling high-growth ventures, the business is now entering a key build phase.

As the first hire within credit risk, the organisation is seeking an experienced Lead Scorecard Modeller to take ownership of the design and development of all risk models and frameworks from the ground up. This is a highly strategic role offering significant autonomy, technical challenge, and visibility across the wider business

THE ROLE

  • Design and build the company’s first scorecards – acquisition, behavioural, and collections
  • Choose and justify modelling techniques (traditional, hybrid, or even ML-informed)
  • Define the credit strategy and lending criteria from the ground up
  • Partner with data engineering to ensure the data pipelines and feature stores support what you need
  • Play a hands-on role in regulatory documentation, governance, and model risk management

YOUR SKILLS AND EXPERIENCE:

  • Proven track record in developing credit risk scorecards, ideally across multiple lifecycle stages (e.g. application, behavioural, and collections)
  • Strong statistical and analytical skills with proficiency in Python
  • Understanding of regulatory requirements relating to credit risk, including model governance and validation
  • Experience collaborating with cross-functional teams including data engineering and product
  • Self-starter with the ability to operate autonomously and take initiative in an unstructured environment

SALARY AND BENEFITS

  • Base salary from £70-100,000 depending on experience
  • Company pension scheme
  • Private medical care

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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