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Lead credit risk analyst

Harnham

Leeds

Hybrid

GBP 50,000 - 70,000

Full time

3 days ago

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Job summary

A leading company in the banking sector is seeking a Lead Credit Risk Analyst to enhance credit risk strategies. The role involves developing credit models, analyzing data, and collaborating with various teams to ensure regulatory compliance. Ideal candidates will have strong experience in credit risk analysis and proficiency in programming languages like SQL and Python.

Qualifications

Proven experience in credit risk analysis within banking or financial services.
Strong proficiency in statistical modeling and programming languages.

Responsibilities

Develop and optimize credit strategies across the customer lifecycle.
Analyze large datasets to uncover insights and trends.
Monitor credit performance and generate actionable reporting.

Skills

SQL

SAS

Python

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Building Credit Risk, Fraud, and Pricing Analytics teams in the Lending and Insurance Sectors | The Talent Driving The Data and AI Revolution

LEAD CREDIT RISK ANALYST

LEEDS- HYBRID

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

Please send CV or apply below!

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Analyst
Industries
Banking

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