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Credit Risk Manager

CCA Recruitment Group
Posted 8 hours ago, valid for a month
Location

Nottingham, Nottinghamshire NG42QU, England

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 role of Credit Risk Manager is available in England, requiring travel to the Nottingham office once a quarter based on business needs.
  • The salary for this position ranges from £65,000 to £70,000 depending on experience, along with additional benefits.
  • Candidates should have a degree in a relevant subject and experience in the Financial Services Industry, along with proficiency in programming languages such as Python, R, or SQL.
  • The position involves developing and validating credit scoring models, performing data analysis, and presenting insights to stakeholders.
  • This is a great opportunity for an experienced professional to join a growing team with long-term progression and a focus on work-life balance.

Role: Credit Risk Manager

Location: England (travel to Nottingham office once a quarter - to business needs)

Salary: £65,000-£70,000 DOE + benefits

Hours: 37.5 Mon-Fri

My client is lookig for an experience Credit Risk Manager to join their growing team. They provides solutions for customers who need flexible and affordable options for their s financial needs. Great role for a stand alone Credit Risk Manager to join their commercial team reporting to Head of Workforce.

Core Responsibilities of the Credit Risk Manager:

  • Extensive hands-on experience with credit scores and scorecards, including development, validation, and monitoring of both custom and bureau-based scoring models.
  • Experience working with credit bureau data for credit strategy development, model enhancement, and risk segmentation.
  • Design and implement advanced statistical models to assess credit risk, optimise credit scoring, and enhance underwriting strategies.
  • Develop and maintain predictive models such as Probability of Default (PD) to forecast customer behaviour and support credit decisioning.
  • Perform exploratory data analysis and data cleaning to ensure high-quality inputs for model development.
  • Lead A/B testing and controlled experiments to assess the effectiveness of credit strategies and policies.
  • Translate complex data insights into actionable recommendations for stakeholders through clear, concise presentations.

Requirements for the Credit Risk Manager role:

  • Degree in relevant subject (Data Science, Statistics, Economics or similar degree) (Essential)
  • Experience in the Financial Services Industry (Essential)
  • Experience working with large data sets (Essential)
  • Proficiency in Python, R, SQL or other programming languages (Essential)
  • Proficiency in Excel (Essential)
  • Ability to communicate technical insights to non-technical audiences effectively (Essential)
  • Detail-oriented and process-driven with a focus on continuous improvement (Essential)
  • Comfortable working in a fast-paced, evolving environment (Essential)
  • Experience working with credit bureau data (highly preferred)
  • Experience using Salesforce and data visualisation tools (Preferable)

What we offer:

  • Competitive salary - based on experience.
  • 25 days annual holiday (rising by 1 each year to 30) + Banks Holidays.
  • A great work life balance with flexible working options.
  • Long term progression in a growing company.
  • Private Healthcare.

Please follow the link to apply for this Credit Risk Manager role.

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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.