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Senior Credit Risk Analyst - Consumer Lending/Loans

Michael Page Technology

Birmingham

On-site

GBP 40,000 - 80,000

7 days ago

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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 modelling solutions. This role offers the chance to work closely with senior management to develop advanced statistical models that will optimize credit scoring and decision-making processes. You will analyze extensive datasets to uncover insights that drive business strategies, ensuring high-quality data for analysis. Join a rapidly expanding company where your contributions will make a significant impact on their lending decisions and overall growth. If you thrive in a fast-paced environment and are passionate about data-driven decision-making, this opportunity is perfect for you.

Experience in Financial Services and working with large datasets is essential.
Proficiency in programming languages like Python, R, and SQL is crucial.

Develop and implement advanced statistical models to predict credit risk.
Analyse large datasets to identify trends and inform business decisions.

Python

R

SQL

Excel

Statistical Analysis

Data Cleaning

Presentation Skills

Attention to Detail

Problem Solving

Degree in Data Science

Degree in Statistics

Degree in Computer Science

Degree in Economics

Salesforce

Data Visualization Tools

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

This role involves developing credit risk analytics/scorecard modelling solutions to enhance Credit Scoring & Lending decisioning.

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.
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 datasets (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 insights (Essential)
Great attention to detail and 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)

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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