Our 150-plus experts have hands-on expertise in credit risk model development and validation, embedding cutting-edge tools into digital workflows, and ensuring the tools work seamlessly across underwriting, model development, and maintenance.
We work with global and regional banks, serving the full spectrum of client needs. This ranges from short interventions like Covid-19 model overlays and rapid model diagnostics and benchmarks, to end-to-end transformations, emphasizing capability building and agile digital implementation. We have developed extensive credit engine blueprints and model development workbenches, allowing us to work rapidly with client teams to create customized solutions.
We worked with a global bank on its internal ratings-based (IRB) approach to credit risk, developing high-performing, capital-efficient models with minimal increases in risk-weighted assets (RWAs) from new regulations.
In the process, we streamlined the model landscape - achieving more comprehensive coverage, avoiding unnecessary complexity, and significantly increasing standardization of the model development and maintenance process.
This created five areas of impact:
We worked with a leading regional bank to transform its credit value chain for retail mortgages and lending to a wide range of small- and medium-sized businesses. The effort spanned four countries and included existing and new customers.
We focused on creating a customer-centric journey, with fast credit decisions thanks to an automated decision engine. Our work also featured rapid development of the front end, and a scalable micro-services middle layer with more than 20 back-end integrations. And we created a state-of-the-art credit engine with a scalable and powerful credit analytics platform.
The impact across this effort included:
Frank develops and implements innovative risk management solutions through digital innovation and advanced analytics, bringing 25 years of research and industry experience.
Olivier helps leading banks develop advanced analytical solutions to meet their financial objectives and improve regulatory management.
Luis heads up Risk Dynamics in Latin America, and is one of our global leaders in credit risk modelling and risk advanced analytics.
Kirtiman develops and applies analytics across areas in risk management, including designing rating methodologies, developing underwriting and portfolio management models.
Diwakar develops credit rating frameworks for financial institutions and corporations, applying advanced analytics techniques to measure and mitigate retail and commercial credit lending risk across the entire customer life cycle.
Himanshu helps financial institutions and professional services firms design and pursue growth strategies, improve risk management, and transform their business models. He co-leads McKinsey’s Credit Risk Service Line in North America..