Credit Risk Modelling Consultant

Technology & Risk Recruitment; Greater London; On-site; GBP 42,000 - 62,000; Full time

Job summary

Technology & Risk Recruitment is seeking a Credit Risk Modelling Consultant in London to work on early-career credit risk projects for UK lenders. The role focuses on building, testing and validating models across IFRS 9, IRB, scorecards and model validation, with exposure to data engineering and applied AI.

You will develop in PD, LGD, EAD and ECL modelling, pulling complex lending data, scripting in Python, and querying with SQL.

Qualifications

• ~2-3 years of relevant experience within credit risk, analytics, data science or quantitative research.
• Hands-on experience in at least one of IFRS 9, IRB, credit scorecards or model validation.
• Strong quantitative degree in Mathematics, Statistics, Econometrics, Physics, Engineering, Computer Science, Finance or a related discipline.
• Strong practical Python skills.
• Working knowledge of SQL.
• Strong statistical and quantitative modelling skills.
• Ability to independently deliver pieces of analytical/model development work.
• Clear written and verbal communication skills.
• Genuine interest in lending, credit risk and financial regulation.
• Able to work from the Central London office 5 days per week.

Responsibilities

• Building, testing, calibrating and documenting credit risk models.
• Working across PD, LGD, EAD and ECL modelling.
• Supporting IFRS 9, IRB, scorecard and model validation projects.
• Preparing and analysing complex lending datasets.
• Developing high-quality, reusable analysis in Python.
• Querying and reconciling client data using SQL.
• Performing back-testing, benchmarking and model monitoring.
• Owning individual workstreams with support from senior colleagues.
• Working directly with client analysts and model owners.
• Producing clear model documentation and presenting analytical findings.

Skills

Credit risk modelling

Python

SQL

Education

Quantitative degree (Mathematics/Statistics/Econometrics/Physics/Engineering/CS/Finance)

Tools

Git

SAS

R

Cloud platforms (AWS/Azure/GCP)

Job description

Experience: ~2-3 years

The Opportunity

We are recruiting for a growing UK consultancy seeking a Credit Risk Modelling Consultant to join its expanding team.

This is a hands-on position for someone with early-career experience across credit risk, quantitative analytics or data science who is ready to take greater ownership of modelling work.

You’ll work directly on projects for UK lenders, building, testing and validating models across areas including IFRS 9, IRB, scorecards and model validation.

What You’ll Be Doing

• Building, testing, calibrating and documenting credit risk models
• Working across PD, LGD, EAD and ECL modelling
• Supporting IFRS 9, IRB, scorecard and model validation projects
• Preparing and analysing complex lending datasets
• Developing high-quality, reusable analysis in Python
• Querying and reconciling client data using SQL
• Performing back-testing, benchmarking and model monitoring
• Owning individual workstreams with support from senior colleagues
• Working directly with client analysts and model owners
• Producing clear model documentation and presenting analytical findings

You’ll also have opportunities to gain exposure to data engineering, machine learning and applied AI alongside core credit risk work.

What We’re Looking For

• ~2-3 years' relevant experience within credit risk, analytics, data science or quantitative research
• Hands-on experience in at least one of IFRS 9, IRB, credit scorecards or model validation
• Strong quantitative degree in Mathematics, Statistics, Econometrics, Physics, Engineering, Computer Science, Finance or a related discipline
• Strong practical Python skills
• Working knowledge of SQL
• Strong statistical and quantitative modelling skills
• Ability to independently deliver pieces of analytical/model development work
• Clear written and verbal communication skills
• Genuine interest in lending, credit risk and financial regulation
• Able to work from the Central London office 5 days per week

Experience with Git, SAS, R, AWS, Azure or GCP would be beneficial but isn't essential.

What's on Offer

An opportunity to join a small, growing consultancy where you’ll take meaningful ownership early in your career, work directly with clients and develop across a broad range of credit risk modelling disciplines.

There is a clear progression route towards Senior Consultant and Manager as your technical expertise and client responsibilities develop.