Credit Risk Consultant; Data Analytics & Modelling

📌 Credit Risk Consultant | Data Analytics & Modelling | Up to £80k | London - 2 days a week

📍 London - 2 days in office | Hybrid/Remote options available

A thriving consultancy is looking for a Credit Risk Consultant to join their specialist banking and lending team. This isn't your standard in-house credit risk role - this is consultancy work with real variety and exposure as you'll be working with a range of clients including Fintechs, new market entrants, private equity-backed lenders, and VC-funded businesses.

You'll also work across the entire credit risk lifecycle - acquisition scorecards, portfolio strategy, forecasting, pricing NPLs, modelling. One week you're building predictive models for a challenger bank, the next you're supporting a PE firm with portfolio forecasting or helping a VC-backed fintech scale their credit strategy.

You'll leverage Python, machine learning, and regression modelling to deliver projects that shape how lending businesses operate. Alongside a team who've been doing this since 1989 and have built a genuinely collaborative, supportive culture where people actually want to work.

• 4+ years in a data analytics role within UK consumer or SME lending
• Strong Python skills with common data analytics packages
• Experience modelling customer behaviour - regression, machine learning, predictive analytics
• Ability to present complex results clearly to different audiences
• Someone who thrives in a collaborative, team-oriented environment

• Credit risk analytics and modelling in consumer or SME lending
• Python programming for data analysis and model building
• Regression, machine learning, and predictive modelling techniques
• Working across the credit lifecycle - origination, portfolio management, collections
• Client-facing work and presenting insights to non-technical stakeholders

Then we want to speak with you - and so will they!

If you've got credit risk analytics experience, strong Python and modelling skills, and want real variety working with Fintechs, PE firms and innovative lenders - let's talk.