Risk Dynamics helps clients create sustainable modelling and analytics platforms to support their businesses in a data-driven world. From core regulatory capital and risk models to business decision analytics and model risk management, we create value by improving performance across the model lifecycle.
Risk Dynamics is a team of over 200 experts in data, analytics, model development, and model risk covering all major geographies across the globe. As part of McKinsey & Company, we combine quantitative analysts, PhDs, actuaries, former regulators, and business consultants to provide a powerful combination of deep analytics expertise, industry knowledge, regulatory perspective, and distinctive capabilities in corporate strategy and transformation.
We work with companies across financial services, energy, manufacturing, pharmaceuticals, healthcare, and many other sectors to develop and deploy leading capabilities in data, analytics, modeling, and model risk management. We support clients in everything from large-scale analytics programs to in-depth modeling exercises.
The COVID-19 pandemic has revealed unexpected flaws in the business models that banks rely upon. How can they best address this challenge?
Look closer at model risk management since SR11-7 and understand the main themes shaping the MRM space.
The added risk brought on by the complexity of machine-learning models can be mitigated by making well-targeted modifications to existing validation frameworks.