Senior Credit Risk Analyst (Lead) - Consumer Lending/Loans

Michael Page Technology

Posted on Nov 5, 2024 by Michael Page Technology
Nottingham, Nottinghamshire, United Kingdom
IT
Immediate Start
£75k - £90k Annual
Full-Time

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 develop credit risk analytics solutions to enhance Credit Scoring & Lending decisioning to optimise and grow their loan portfolio.

Client Details

Rapidly expanding financial services company

Opportunity to develop and enhance credit risk modelling & analytics strategy

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 develop credit risk analytics solutions to enhance Credit Scoring & Lending decisioning to optimise and grow their loan portfolio.

Key Responsibilities:

  • Developing and implementing advanced statistical models and preferably machine learning algorithms to predict credit risk, optimise credit scoring, and enhance our 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, Excel and SQL proficiency (Essential)
  • Degree in relevant subject (Data Science, Statistics, Computer Science, Economics or similar degree) (Essential)
  • Strong proficiency in programming languages such as Python, R (Preferable)
  • Experience using Salesforce and data visualisation tools (Preferable)
  • Strong presentation skills, including the ability to translate complex data into understandable insight
  • A great attention to detail and be process-oriented to review, suggest and implement improvements where appropriate.
  • Able to work in a fast paced, changing environment.

Profile

  • Experience in the Financial Services Industry (Essential)
  • Experience working with large data sets, Excel and SQL proficiency (Essential)
  • Degree in relevant subject (Data Science, Statistics, Computer Science, Economics or similar degree) (Essential)
  • Strong proficiency in programming languages such as Python, R (Preferable)
  • Experience using Salesforce and data visualisation tools (Preferable)
  • Strong presentation skills, including the ability to translate complex data into understandable insight
  • A great attention to detail and be process-oriented to review, suggest and implement improvements where appropriate.
  • Able to work in a fast paced, changing environment.

Job Offer

Opportunity to join a rapidly expanding financial services company


Reference: 2845534240

https://jobs.careeraddict.com/post/96909757

This Job Vacancy has Expired!

Michael Page Technology

Senior Credit Risk Analyst (Lead) - Consumer Lending/Loans

Michael Page Technology

Posted on Nov 5, 2024 by Michael Page Technology

Nottingham, Nottinghamshire, United Kingdom
IT
Immediate Start
£75k - £90k Annual
Full-Time

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 develop credit risk analytics solutions to enhance Credit Scoring & Lending decisioning to optimise and grow their loan portfolio.

Client Details

Rapidly expanding financial services company

Opportunity to develop and enhance credit risk modelling & analytics strategy

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 develop credit risk analytics solutions to enhance Credit Scoring & Lending decisioning to optimise and grow their loan portfolio.

Key Responsibilities:

  • Developing and implementing advanced statistical models and preferably machine learning algorithms to predict credit risk, optimise credit scoring, and enhance our 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, Excel and SQL proficiency (Essential)
  • Degree in relevant subject (Data Science, Statistics, Computer Science, Economics or similar degree) (Essential)
  • Strong proficiency in programming languages such as Python, R (Preferable)
  • Experience using Salesforce and data visualisation tools (Preferable)
  • Strong presentation skills, including the ability to translate complex data into understandable insight
  • A great attention to detail and be process-oriented to review, suggest and implement improvements where appropriate.
  • Able to work in a fast paced, changing environment.

Profile

  • Experience in the Financial Services Industry (Essential)
  • Experience working with large data sets, Excel and SQL proficiency (Essential)
  • Degree in relevant subject (Data Science, Statistics, Computer Science, Economics or similar degree) (Essential)
  • Strong proficiency in programming languages such as Python, R (Preferable)
  • Experience using Salesforce and data visualisation tools (Preferable)
  • Strong presentation skills, including the ability to translate complex data into understandable insight
  • A great attention to detail and be process-oriented to review, suggest and implement improvements where appropriate.
  • Able to work in a fast paced, changing environment.

Job Offer

Opportunity to join a rapidly expanding financial services company

Reference: 2845534240

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