Senior IRB Credit Modeller (UK Mortgages)

Senior IRB Credit Modeller (UK Mortgages)

Job Info

• Job Identification 19822
• Posting Date 09/07/2026, 01:30 PM
• Job Role Compliance-Line Compliance
• Experience (In Years) 9-12
• Job Location London, United Kingdom

Job Description

EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.

We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit .

Role Title: Senior IRB Credit Modeller (UK Mortgages)

BU/Segment: AI Services and Operations

Location: London, United Kingdom (Hybrid working 4 days a week in the office)

Employment Type: Umbrella Contractor Inside IR35 to start as soon as possible.

Summary of the role

We are seeking an experienced Senior IRB Credit Modeller to lead the development, enhancement and governance of mortgage credit risk models.

The role is responsible for developing and refining IRB risk parameters (PD, LGD and EAD), overseeing model lifecycle management, and ensuring compliance with UK PRA Basel 3.1 requirements.

The successful candidate will partner closely with Credit, Business and Risk stakeholders to ensure robust model performance and effective implementation within credit risk framework.

As part of your duties, you will be responsible for:

Develop and refine IRB credit risk parameters (PD, LGD and EAD) across mortgage portfolios.

Collaborate with colleagues in the development of retail and non-retail credit risk models.

Oversee the full model lifecycle including scoping, data review, stakeholder engagement, documentation and governance approvals.

Conduct annual model reviews, calibrations, back-testing and performance analysis.

Identify and remediate model deficiencies and performance issues.

Research, design and implement best-practice credit risk methodologies aligned to PRA Basel 3.1 standards.

Partner with Credit, Business and support functions to drive understanding and adoption of models.

Produce high-quality documentation and governance materials.

Qualifications and experience we consider to be essential for the role:

Bachelor’s or Master’s degree in a highly quantitative discipline such as Mathematics, Statistics or Economics.

Approximately 12 years of relevant experience in credit risk modelling.

Significant experience estimating IRB parameters for mortgage portfolios under PRA regulations (preferred) or EBA frameworks.

Experience leading projects or workstreams within a credit risk modelling environment.

Strong coding capability in SQL and/or Python, or willingness to develop these skills.

Strong understanding of IRB regulatory requirements and model governance

Skills and personal attributes we would like to have:

Exceptional analytical and problem-solving abilities.

Ability to interpret complex datasets and present findings clearly to diverse audiences.

Strong verbal and written communication skills.

High-quality documentation and stakeholder management capability.

Ability to work independently and collaboratively within a team environment.

Continuous learning mindset and adaptability to new challenges.

As part of a leading global Data and AI company, you can look forward to:

• Working within a highly regarded specialist banking and wealth management organisation.
• Exposure to complex mortgage modelling and credit risk initiatives.
• Opportunities for professional development and continuous learning.
• Collaboration with experienced risk, credit and business stakeholders.
• A supportive and high-performing team environment.

To be considered for this role, you must already be eligible to work in the relevant location.

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