Manager IRB Model Development

Barclay Simpson; City Of London; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading recruitment firm in Risk seeks an experienced Quantitative Risk Manager in London. You will oversee the lifecycle of Internal Ratings Based models, ensuring compliance with regulatory standards. This role involves developing quantitative models, engaging with senior stakeholders, and providing mentorship within the team. The ideal candidate will have expertise in credit risk modelling, strong quantitative skills, and hands-on experience with SAS, SQL, or R. Join a supportive environment where your skills can truly shine.

Qualifications

• Strong technical expertise in credit risk modelling within financial services.
• Practical experience with IRB models (Retail or Corporate).
• Sound knowledge of IRB regulatory requirements (CRR, EBA, PRA).
• High attention to detail and a strong focus on quality.

Responsibilities

• Responsible for the end-to-end lifecycle of IRB models.
• Develop and maintain PD, LGD, scorecard, slotting, and stress testing models.
• Deliver annual model reviews, recalibrations, and ad-hoc testing.
• Present complex methodologies to senior management.

Skills

Credit risk modelling

Statistical modelling

Data analysis

SAS

SQL

R

Job description

We are looking for an experienced Quantitative Risk Manager to join a specialist Credit Risk Modelling team and take a leading role in the development, implementation and oversight of Internal Ratings Based (IRB) models.

This role offers broad exposure across Retail and Corporate, combining deep technical modelling work with senior stakeholder engagement and regulatory-facing deliverables.

The role

You will be responsible for the end-to-end lifecycle of IRB models, from design and calibration through to governance, documentation and ongoing performance monitoring. This includes:

• Developing and maintaining PD, LGD, scorecard, slotting and stress testing models
• Delivering annual model reviews, recalibrations and ad-hoc testing
• Defining data requirements for LGD modelling and assessing data quality and availability against regulatory and internal standards
• Working closely with collections, recoveries and collateral teams to resolve data gaps
• Producing high-quality model documentation, reports and regulatory artefacts, including annual IRB self‑assessments and remediation plans
• Presenting complex methodologies and results to senior management committees
• Providing training and technical guidance on modelling approaches
• Supporting and mentoring junior colleagues within the team
• Operating in line with the organisation’s risk management framework and governance standards

About you

You’ll bring strong technical expertise alongside the ability to communicate clearly and confidently with non‑technical stakeholders.

Key experience and skills include:

• Background in credit risk modelling within financial services
• Practical experience with IRB models (Retail and/or Corporate)
• Sound knowledge of IRB regulatory requirements (CRR, EBA, PRA)
• Strong quantitative skills, including statistical modelling and validation
• Hands‑on use of SAS, SQL and/or R
• High attention to detail and a strong focus dưới quality
• A proactive, collaborative and well‑organised working style

Why apply?

This is a chance to work on material, high‑profile regulatory models, influence key credit risk decisions, and develop your expertise in a technically strong and supportive environment with regular exposure to senior stakeholders.

Barclay Simpson - global leaders in Risk recruitment: https://www.barclaysimpson.com/specialisms/risk-jobs/

This job was published by Barclay Simpson: https://www.barclaysimpsonunciar.com/job/manager-ifrs9-modelling-3-2-2/