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Lead credit risk analyst

Lead credit risk analyst

Harnham - Data & Analytics Recruitment

Posted 19 hours ago, valid for 15 days

Leeds, West Yorkshire LS14 1DZ

Full Time

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Sonic Summary

The Lead Credit Risk Analyst position in Leeds offers a salary of up to £55,000 and requires proven experience in credit risk analysis within a banking or financial services environment.
In this role, you will enhance the bank's credit risk strategies by developing and implementing robust credit risk models and policies.
Key responsibilities include optimizing credit strategies throughout the customer lifecycle, analyzing large datasets for insights, and collaborating with various teams to ensure alignment with business goals and regulations.
You will also monitor credit performance, create actionable reports for senior stakeholders, and conduct champion/challenger tests to enhance risk segmentation.
Candidates should possess strong proficiency in statistical modeling and programming languages such as SQL, SAS, R, or Python, along with a solid understanding of credit risk principles and regulatory requirements.

LEAD CREDIT RISK ANALYST

LEEDS- HYBRID

UP TO £55,000

As a Lead Credit Risk Analyst, you will play a pivotal role in managing and enhancing the bank's credit risk strategies. Leveraging your expertise in credit risk analysis, you will contribute to the development and implementation of robust credit risk models and policies, ensuring the bank's portfolio remains resilient and aligned with regulatory standards.

THE ROLE

Develop and optimize credit strategies across the customer lifecycle-from acquisition and underwriting to portfolio management and collections using SQL
Analyze large datasets to uncover insights, trends, and opportunities for strategy refinement.
Partner with Product, Finance, Data Science, and Compliance teams to ensure strategies align with business goals and regulatory standards.
Monitor credit performance, develop dashboards, and generate actionable reporting for senior stakeholders.
Run champion/challenger tests to improve risk segmentation and predict customer behavior.

REQUIREMENTS

Proven experience in credit risk analysis within a banking or financial services environment.
Strong proficiency in statistical modeling and programming languages (e.g., SQL, SAS, R, Python) for data analysis.
In-depth understanding of credit risk principles, regulatory requirements, and industry best practices.

HOW TO APPLY

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