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Senior Credit Risk Analyst Lead - Consumer Lending

Michael Page Technology
Posted a day 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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  • A rapidly expanding financial services company is seeking a Senior Credit Risk Analyst for their Consumer Lending function.
  • The role involves developing credit risk analytics and scorecard modelling solutions to enhance credit scoring and lending decision-making.
  • Candidates should have experience in the Financial Services industry and proficiency in programming languages such as Python, R, and SQL.
  • The position requires a degree in a relevant field, and prior experience with large datasets and data visualization tools is preferred.
  • The expected salary for this role is competitive, and candidates should have at least 3-5 years of relevant experience.

This rapidly expanding financial services company are seeking a Senior Credit Risk Analyst to join their Consumer Lending function. Working with the Commercial Director you will develop credit risk analytics / scorecard modelling solutions to enhance Credit Scoring & Lending decisioning to optimise and grow their loan portfolio

Client Details

Rapidly expanding financial services company

Description

This rapidly expanding financial services company are seeking a Senior Credit Risk Analyst to join their Consumer Lending function. Working with the Commercial Director you will develop credit risk analytics / scorecard modelling solutions to enhance Credit Scoring & Lending decisioning to optimise and grow their loan portfolio.

Key Responsibilities:

  • Developing and implementing advanced statistical / scorecard models to predict credit risk, optimise credit scoring, and enhance decision-making/underwriting processes.
  • Develop and maintain predictive models to assess credit risk and forecast customer behaviour.
  • Analyse large datasets to identify trends, patterns, and insights that inform business decisions.
  • Perform data cleaning to ensure high-quality data for analysis,
  • Conduct A/B testing and other experiments to evaluate the impact of credit strategies and policies.
  • Develop credit risk models, such as probability of default (PD) using various modelling techniques.
  • Working independently and presenting findings and recommendations to stakeholders in a clear and concise manner.

Key Skills / Experience:

  • 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)
  • Strong presentation skills, including the ability to translate complex data into understandable insight (Essential)
  • A great attention to detail and be process-oriented to review, suggest and implement improvements where appropriate. (Essential)
  • Able to work in a fast paced, changing environment.(Essential)
  • Degree in relevant subject (Data Science, Statistics, Computer Science, Economics or similar degree) (Preferable)
  • Experience using Salesforce and data visualisation tools (Preferable)

Profile

  • 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)
  • Strong presentation skills, including the ability to translate complex data into understandable insight (Essential)
  • A great attention to detail and be process-oriented to review, suggest and implement improvements where appropriate. (Essential)
  • Able to work in a fast paced, changing environment.(Essential)
  • Degree in relevant subject (Data Science, Statistics, Computer Science, Economics or similar degree) (Preferable)
  • Experience using Salesforce and data visualisation tools (Preferable)

Job Offer

Opportunity to develop and enhance credit risk modelling & analytics strategy

Opportunity to join a rapidly expanding financial services company

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.