Credit Risk Modelling Senior Consultant

At Campion Pickworth, we’re looking for a Credit Risk Modelling Consultant / Manager to join a technically strong team working on high-impact projects across IFRS 9, IRB, scorecards, model validation, stress testing and wider credit risk analytics.

This is a hands-on role for someone who wants to stay close to the modelling while gaining significant exposure to clients, different portfolios and a broad range of credit risk challenges.

What you'll be doing

Depending on your experience, you could be involved in:

• Developing, testing, calibrating and documenting credit risk models.
• IFRS 9 / ECL modelling across PD, LGD and related methodologies.
• IRB and regulatory capital modelling and validation.
• Application and behavioural scorecard development.
• Credit risk forecasting and stress testing.
• Independent model validation, review and benchmarking.
• Model monitoring, back‑testing and performance analysis.
• Working with client data to build robust, reproducible modelling datasets.
• Translating complex modelling outputs into clear recommendations for clients and senior stakeholders.
• Supporting wider model risk management, governance, controls and regulatory projects.
• Taking ownership of workstreams and, at Manager level, leading project delivery and supporting more junior team members.
• Building trusted relationships with clients and contributing to the growth of the consultancy.

The work is varied. You might work on an IFRS 9 model for one client, support an IRB development or validation programme for another, and work on a scorecard, stress‑testing or model‑risk assignment elsewhere.

What we're looking for

• Relevant experience in credit risk modelling, credit analytics, data science, quantitative research or a closely related area.
• Hands‑on experience in at least one of:
• IRB / regulatory capital
• Credit scorecards
• Credit forecasting / stress testing
• Strong Python skills and the ability to explain your modelling approach and code.
• Working knowledge of SQL and experience working with real‑world financial datasets.
• A solid understanding of credit risk modelling principles and financial services.
• Experience with data preparation, analysis, reconciliation and model testing.
• Strong communication skills, particularly the ability to explain technical concepts to non‑technical audiences.
• Evidence of delivering analytical/modelling work to deadlines and taking ownership of your work.
• The ability to work effectively with clients and other stakeholders.

For more experienced candidates, we're particularly interested in people with work‑stream/project leadership, stakeholder management and/or team leadership experience.

You don't need everything below, but experience in several areas would be highly valuable:

• Multiple credit risk frameworks, particularly IFRS 9, IRB and stress testing.
• Retail or commercial portfolios including mortgages, unsecured lending, credit cards, motor finance, SME or specialist lending.
• UK regulatory experience involving the PRA, EBA, Basel/CRR or related model risk requirements.
• Experience from a consulting, audit, assurance or independent validation environment.
• PD, LGD, EAD and ECL modelling.
• Logistic regression, GLMs, survival analysis, time series or other statistical techniques.
• Gradient boosting / machine learning applied to credit risk.
• Calibration, segmentation, benchmarking, back‑testing and model monitoring.
• Model governance, controls, data lineage and wider model risk management.
• SAS, R, Excel/VBA or Git.
• Exposure to AWS, Azure or GCP.
• Data visualisation and presenting analytical findings effectively.
• Stress testing, ICAAP, credit strategy, affordability or regulatory reporting.
• Experience reviewing or developing the work of junior modellers.

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