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.
Client Details
Rapidly expanding financial services company
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.
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
