* Opportunity to develop and enhance credit risk modelling & analytics strategy
* Opportunity to join a rapidly expanding financial services company
About Our Client
Rapidly expanding financial services company
Job Description
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 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.
The Successful Applicant
* 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.
What's on Offer
Opportunity to develop and enhance credit risk modelling & analytics strategy
Opportunity to join a rapidly expanding financial services company
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