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