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Credit Risk Manager

Cherry Professional
Posted 9 hours ago, valid for 17 days
Location

Nottingham, Nottinghamshire NG1 5FS, England

Salary

£55,000 - £65,000 per annum

Contract type

Full Time

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Sonic Summary

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  • The position is for a Credit Risk Manager with a salary of up to £65,000, depending on experience.
  • Candidates should have at least 5 years of experience in Financial Services, specifically focusing on credit risk.
  • The role involves developing data-driven credit strategies to influence risk policies and improve access to financial solutions.
  • Proficiency in Python, R, SQL, and Excel is required, along with strong communication skills to convey complex data insights.
  • Flexible working options are available, including hybrid or remote arrangements, along with excellent benefits such as 25 days of annual leave and private healthcare.
Credit Risk Manager | Up to 65k (dependant on experience)
Flexible Working | Hybrid or Remote | Fantastic benefits including: 25 days annual leave + bank holidays/Genuine opportunities for career progression/PrivateHealth care


An innovative and growing financial organisationare looking for a dynamic Credit Risk Manager to join their commercial team and lead the development of smart, data-driven credit strategies that support sustainable lending!Your expertise will directly influence risk policies and help create fairer access to financial solutions for thousands of customers!

What we're looking for:

  • Degree in Data Science, Statistics, Economics, or a related field
  • 5+ years of experience in Financial Services with a focus on credit risk
  • Proficiency in Python, R, SQL, and Excel
  • Hands-on experience with credit bureau data and scoring techniques
  • Strong communicator who can simplify complex data for broad audiences
  • Highly analytical and adaptable in fast-paced environments
  • Experience with Salesforce or data visualisation tools
The finerelements of the role include:

Develop and monitor both custom and bureau-based credit scorecards
Build predictive models (e.g., Probability of Default) to improve credit decisions
Leverage credit bureau data (e.g., TransUnion, Experian) to enhance segmentation and risk strategies
Conduct exploratory analysis and data cleaning to ensure data quality
Lead A/B testing and controlled experiments to evaluate strategy effectiveness
Translate complex data insights into clear, actionable recommendations for non-technical stakeholders









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By applying, a CV-Library account will be created for you. CV-Library's Terms & Conditions and Privacy Policy will apply.