Lead Credit Risk Analyst - Consumer Lending/Loans

Michael Page Technology • APPLICATION • Birmingham, Not Specified, United Kingdom • £65,000 - £75,000 / * • 2d ago

This rapidly expanding financial services company are seeking a Lead Credit Risk Analyst to join their Consumer Lending function. Working with the Commercial Director you will 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

Description

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 develop and enhance credit risk modelling & analytics strategy

Opportunity to join a rapidly expanding financial services company

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