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Senior Credit Risk Analyst - Consumer Lending / Loans

Michael Page

Birmingham

On-site

GBP 45,000 - 75,000

8 days ago

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An established industry player in financial services is on the lookout for a Senior Credit Risk Analyst to join their dynamic Consumer Lending team. In this pivotal role, you will harness advanced statistical techniques and scorecard modeling to enhance credit scoring and decision-making processes. Your expertise in analyzing large datasets will drive insights that optimize their loan portfolio. This is an exciting opportunity to contribute to a rapidly growing organization, where your analytical skills will be key to shaping their credit risk strategy and improving customer outcomes. If you thrive in a fast-paced environment and are passionate about data-driven decision-making, this role is perfect for you.

Experience in financial services and large data sets 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.

Financial Services Industry Experience

Large Data Sets Analysis

Python

R

SQL

Excel

Presentation Skills

Attention to Detail

Ability to Work in Fast-Paced Environment

Degree in Data Science

Degree in Statistics

Degree in Computer Science

Degree in Economics

Salesforce

Data Visualisation 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 and scorecard modelling solutions to enhance credit scoring and lending decision-making to optimise and grow their loan portfolio.

Client Details

Rapidly expanding financial services company.

Description

This role involves:

Developing and implementing advanced statistical and scorecard models to predict credit risk, optimise credit scoring, and enhance decision-making/underwriting processes.
Developing and maintaining predictive models to assess credit risk and forecast customer behaviour.
Analysing large datasets to identify trends, patterns, and insights that inform business decisions.
Performing data cleaning to ensure high-quality data for analysis.
Conducting A/B testing and other experiments to evaluate the impact of credit strategies and policies.
Developing 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 insights (Essential)
A 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 and analytics strategy.

Opportunity to join a rapidly expanding financial services company.

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