EasyMoney.
A parametric risk model spanning their full property-backed loan book.
Delivered the risk scoring model as an independent consultant, in collaboration with the CEO Andrew de Candole and the Anteros Partners investment team.
EasyMoney run a property-backed lending book and needed a consistent way to score risk across the portfolio. The goal was a parametric model, something grounded in observable inputs rather than gut feel, so that every loan could be compared on the same basis.
The work was delivered with the CEO Andrew de Candole and the Anteros Partners investment team. That meant translating how experienced property lenders actually think about risk into a structured set of parameters, then calibrating those parameters against the real loan book.
The output was a scoring framework covering the full portfolio. It gave the team a common language for discussing new deals, spotting concentration, and tracking how the risk profile moved over time.
Results.
- Parametric risk scoring model covering the full EasyMoney property-backed loan portfolio
- Framework built in collaboration with the CEO and the Anteros Partners investment team
- Consistent, comparable risk view across every loan in the book
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