We design and enhance credit decisioning models that support consistent, explainable, and risk-aligned lending decisions across the customer lifecycle. Our approach balances predictive performance with governance, monitoring, and regulatory expectations, ensuring models remain effective beyond initial deployment.
Enabling better credit decisions without compromising risk control or explainability.
We design, rebuild, and enhance IRB credit risk models that are technically robust, regulator-aware, and fully defensible. Our focus is on ensuring PD, LGD, and EAD models are fit for purpose, appropriately calibrated through the cycle, and supported by clear governance and documentation.
What we support:
Helping banks avoid unnecessary RWAs while meeting supervisory expectations.
Stress Testing That Translates into Capital Impact
Main copy:
We support banks and financial institutions in designing and implementing stress testing frameworks that go beyond headline PD and LGD shocks. Our work explicitly links macroeconomic scenarios to impairments, RWAs, and capital ratios, enabling clear senior management and regulatory narratives.
What we support:
Turning scenarios into explainable capital and impairment outcomes.
Audit-Defensible IFRS 9 Impairment Models
We help institutions design and strengthen IFRS 9 impairment frameworks that are transparent, evidence-based, and defensible to auditors and regulators. Our approach balances technical rigour with practical governance, ensuring forward-looking elements are clearly justified and monitored.
What we support:
Reducing audit challenge through clarity, evidence, and governance.