Senior Credit Risk Analyst - Consumer Lending / Loans - Michael Page
Michael Page Manchester
About Our Client
Rapidly expanding financial services company
Job 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 will develop credit risk analytics / scorecard modelling solutions to enhance Credit Scoring & Lending decisioning to optimise and grow their loan portfolio.
Key Responsibilities:
- Developing and implementing advanced statistical / scorecard models to predict credit risk, optimise credit scoring, and enhance 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 (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 be process-oriented 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)
- 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 be process-oriented 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)
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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Identify and assess financial risks, such as market risk, credit risk, and liquidity risk.
• Develop risk mitigation strategies to protect the company's financial interests.
Audit and Compliance:
• Coordinate external audits and ensure compliance with audit...
The Very GroupLiverpool, 28 mi from Manchester
and wellbeing.
About the role
Our in-house credit risk and analytics teams are the backbone of our business, leveraging advanced analytical techniques to ensure we lend responsibly and sustainably. As a credit risk modelling analyst, you’ll design, deploy...