Credit Risk Model Validation Manager

JR United Kingdom; Slough; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading fintech company is seeking a Credit Risk Model Validation Manager to validate risk models using advanced analytics in Slough. The ideal candidate will have a strong background in credit risk model validation, with proficiency in SQL and Python, and hold a quantitative degree. This role offers a competitive salary package of up to £80,000, combined with benefits and a hybrid work arrangement.

Qualifications

• Proven experience validating credit risk models.
• Strong experience with SQL and Python.
• Background in the financial services industry.

Responsibilities

• Validating Credit Risk models such as IFRS9.
• Applying analytics to enhance credit risk models.
• Presenting validation findings to senior leadership.

Skills

SQL

Python

Analytics

Model Validation

Machine Learning

Education

Degree in a quantitative field

Tools

SAS

SQL

R

Python

Job description

Social network you want to login/join with:

Credit Risk Model Validation Manager, Slough

Location: Slough, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Details

Views: 2

Posted: 31.05.2025

Expiry Date: 15.07.2025

Job Description

Salary: Up to £80,000

Work Arrangement: Hybrid

Location: London

About the Company

I am hiring a Model Validation specialist for a top fintech based in London, managing portfolios across unsecured and secured lending. You will collaborate with industry experts to validate risk models using AI and machine learning techniques.

The Role

As a Model Validation Manager, your responsibilities include:

• Validating Credit Risk models such as IFRS9 (PD, EAD, LGD)
• Applying analytics to enhance credit risk models and review practices
• Validating broader risk models, including AI, machine learning, reporting, and operational risk models
• Presenting validation findings to senior leadership
• Utilizing tools like SAS, SQL, R, and Python daily

Your Skills and Experience

To succeed, you should have:

• Strong experience with SQL and Python
• Proven experience validating credit risk models
• Financial services industry experience
• A degree in a quantitative field from a top university

Salary up to £80,000 plus benefits.

How to Apply

Please send your CV to Sean Tunley via [emailprotected] to express your interest.