Credit Risk Consultant

Harnham; Greater London; On-site; GBP 63,000 - 77,000; Full time

Benefits offered by this job

Salary up to £70,000

Job summary

Harnham are working with a specialist consultancy seeking Credit Risk Modelling Consultants to join their expanding team. This is an excellent opportunity for talented modellers with experience across IRB, IFRS 9, or model validation who are looking to accelerate their careers within a high-growth environment.

You will work on a broad range of credit risk modelling projects across retail lending portfolios, supporting clients with model development, validation, scorecard design, and regulatory

Qualifications

• 3-8 years' experience within credit risk modelling, model validation, analytics, or a related quantitative field.
• Experience with IFRS 9, IRB, PD, LGD, scorecards, or model risk management.
• Strong Python programming skills and working knowledge of SQL.
• Degree in a quantitative discipline such as Mathematics, Statistics, Economics, Engineering, Physics, Computer Science, or Finance.
• Strong communication skills with the ability to explain technical concepts clearly to non-technical audiences.

Responsibilities

• Developing, testing, calibrating, and documenting credit risk models.
• Supporting IFRS 9, IRB, scorecard development, and model validation projects.
• Working with large datasets using Python and SQL to deliver analytical insights.
• Producing model documentation and presenting findings to stakeholders.
• Collaborating with clients to understand portfolios, processes, and modelling requirements

Skills

Python

SQL

Credit risk modelling

Model validation

IFRS 9

IRB

Communication skills

Education

Quantitative degree

Job description

Harnham are working with a specialist consultancy seeking Credit Risk Modelling Consultants to join their expanding team. This is an excellent opportunity for talented modellers with experience across IRB, IFRS 9, or model validation who are looking to accelerate their careers within a high-growth environment.

THE COMPANY

A rapidly growing credit risk consultancy working with a range of regulated lending institutions across the UK. The business specialises in credit risk modelling, data solutions, and emerging analytics technologies, delivering complex projects across IRB, IFRS 9, scorecard development, and model risk. As an early-stage consultancy experiencing significant growth, employees have the opportunity to take on real responsibility from the outset and contribute to both client delivery and the future direction of the business.

THE ROLE

You will work on a broad range of credit risk modelling projects across retail lending portfolios, supporting clients with model development, validation, scorecard design, and regulatory modelling initiatives. This role offers significant exposure to client-facing work and the opportunity to own key project deliverables early in your career.

Specifically, you can expect to be involved in:

• Developing, testing, calibrating, and documenting credit risk models.
• Supporting IFRS 9, IRB, scorecard development, and model validation projects.
• Working with large datasets using Python and SQL to deliver analytical insights.
• Producing model documentation and presenting findings to stakeholders.
• Collaborating with clients to understand portfolios, processes, and modelling requirements

SKILLS AND EXPERIENCE

The successful Credit Risk Consultant must have the following skills and experience:

• 3-8 years' experience within credit risk modelling, model validation, analytics, or a related quantitative field.
• Experience with IFRS 9, IRB, PD, LGD, scorecards, or model risk management.
• Strong Python programming skills and working knowledge of SQL.
• Degree in a quantitative discipline such as Mathematics, Statistics, Economics, Engineering, Physics, Computer Science, or Finance.
• Strong communication skills with the ability to explain technical concepts clearly to non-technical audiences.

BENEFITS

The successful Credit Risk Consultant will receive a salary up to £70,000.