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Senior Credit Risk Analyst - Consumer Lending / Loans
Michael Page
Manchester
On-site
GBP 45,000 - 75,000
Full time
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Job summary
An established industry player in financial services is on the lookout for a Senior Credit Risk Analyst to enhance their credit risk analytics and scorecard modeling solutions. This role offers the opportunity to develop predictive models and optimize credit scoring processes, directly impacting the growth of their loan portfolio. You will work in a dynamic environment, analyzing large datasets to derive insights and improve decision-making. If you are passionate about data and want to contribute to a rapidly expanding company, this position is an exciting opportunity to make a significant impact in the financial sector.
Qualifications
- Experience in financial services and large datasets is essential.
- Proficiency in programming languages and Excel is required.
Responsibilities
- Develop predictive models to assess credit risk and customer behavior.
- Analyze datasets to inform business decisions and conduct A/B testing.
Skills
Education
Tools
Job description
This rapidly expanding financial services company is seeking a Senior Credit Risk Analyst to join their Consumer Lending function. Working with the Commercial Director, you will develop credit risk analytics/scorecard modelling solutions to enhance Credit Scoring & Lending decisioning to optimise and grow their loan portfolio.
Client Details
Rapidly expanding financial services company
Description
As a Senior Credit Risk Analyst, you will be responsible for developing and implementing advanced statistical/scorecard models to predict credit risk, optimise credit scoring, and enhance decision-making/underwriting processes.
Key Responsibilities:
- 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.
- Work independently and present 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 (Essential)
- Proficiency in Python, R, SQL or other programming languages (Essential)
- Proficiency in Excel (Essential)
- Strong presentation skills, including the ability to translate complex data into understandable insight (Essential)
- A great attention to detail and process-oriented approach to review, suggest and implement improvements where appropriate (Essential)
- Able to work in a fast-paced, changing environment (Essential)
- Degree in relevant subject (Data Science, Statistics, Computer Science, Economics or similar degree) (Preferable)
- Experience using Salesforce and data visualisation tools (Preferable)
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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