Lead Credit Risk Modeller – IFRS 9, IRB & AI

MERJE; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

MERJE is a fast paced consultancy delivering risk, data and applied AI in the regulated lenders sector. We seek a senior credit risk professional to lead modelling, validation and decisioning across IFRS 9, IRB, PD, LGD and ECL.

You will apply Python, SQL and ML techniques, work across portfolios, and explain complex models to non-technical stakeholders. A strong quantitative degree and hands-on experience are essential.

Qualifications

• Experience in credit risk, analytics, data science or quantitative research.
• Hands-on exposure to IFRS 9, IRB, scorecard development or model validation.
• Strong quantitative degree; MSc is a plus but not required.
• Strong Python and SQL skills.
• Clear written English for explaining models to non-technical stakeholders.
• Ability to work with light supervision and deliver on time.
• Genuine interest in lending regulation - IRB, IFRS 9 and PRA expectations.
• Adaptability to changing client needs and modelling tasks.

Responsibilities

• Develop PD, LGD, EAD and ECL models across portfolios.
• Build and validate scorecards and decision engines.
• Calibrate, back-test and benchmark models.
• Collaborate with stakeholders and explain models to non-technical audiences.
• Support risk strategy and regulatory reporting obligations.

Skills

Credit risk analytics

IFRS 9

IRB

Scorecards

Model validation

Data science

Python

SQL

Git

Excel

Cloud (AWS/Azure/GCP)

SAS/R

Education

Mathematics/Statistics/Econometrics/Physics/Engineering/Computer Science/Finance degree

Tools

Python

SQL

Git

Excel

AWS/Azure/GCP

SAS/R

Job description

MERJE is a fast paced consultancy delivering risk, data and applied AI in the regulated lenders sector. We seek a senior credit risk professional to lead modelling, validation and decisioning across IFRS 9, IRB, PD, LGD and ECL.

You will apply Python, SQL and ML techniques, work across portfolios, and explain complex models to non-technical stakeholders. A strong quantitative degree and hands-on experience are essential.