Model Risk Management: Governance & Validation Masterclass
Building and running a model risk management framework that survives supervisory scrutiny — governance, validation, AI/ML risk and the three lines of defence.
Format
Classroom · Virtual
Upcoming sessions
Pick a session to applyADMISSIONS OPENThe programme
Models now sit behind almost every consequential decision a financial institution makes — credit, capital forecasting, fraud detection, regulatory compliance — and the growth of AI and machine learning has multiplied model risk faster than most MRM frameworks have matured. This intensive two-day programme works through Model Risk Management in full: governance, validation practice, risk taxonomy, model inventories, and the supervisory expectations set by SR 11-7, the EU AI Act and other global benchmarks. Built on real-world case studies and interactive sessions, the cohort works through what a credible framework requires — independent challenge, explainability, automated monitoring — and how to run it in AI-driven, cloud-based and agile environments.
What you will do
Who attends
- CROs and heads of enterprise, credit, market and operational risk
- Model risk, validation and model governance teams
- Quants, model developers, AI/ML engineers and analytics leads
- Internal and external auditors, compliance, GRC and regulatory affairs
- Board members, senior executives, supervisors and central bank teams
Programme agenda
Built for the decisions no textbook prepares you for
I.Model risk and its governance
- The scope of model risk and its strategic implications
- Risk taxonomy and risk-based model classification
- Building and maintaining the model inventory
II.Regulatory expectations
- SR 11-7, the EU AI Act and global benchmarks
- Supervisory trends in model risk oversight
- Integrating MRM into enterprise risk frameworks
III.Validation practice
- Conceptual soundness, performance testing and benchmarking
- Explainability (XAI) and reducing model opacity
- Building internal validation and independent challenge capability
IV.MRM at scale
- Automated monitoring and early-warning signals
- Tools for governance, version control and reporting
- The unique risks of AI and machine-learning models
Frequently asked
Which regulatory standards does the model risk management training cover?
The programme is anchored in SR 11-7, the EU AI Act and other global supervisory benchmarks, and tracks current trends in model risk oversight. It shows how to integrate MRM into enterprise-wide governance, with clear roles assigned across the three lines of defence so the framework survives supervisory scrutiny.
Does the masterclass address AI and machine-learning model risk?
Yes — it is a central theme. The cohort applies explainability (XAI) tools to open up opaque AI and machine-learning models, examines the unique risks these models carry, and adapts MRM practice for AI-driven, cloud-based and agile development environments, including automated monitoring with early-warning signals, version control and reporting.
Who should attend the MRM governance and validation programme?
CROs and heads of enterprise, credit, market and operational risk; model risk, validation and model governance teams; quants, model developers, AI/ML engineers and analytics leads; internal and external auditors, compliance, GRC and regulatory affairs; and board members, senior executives, supervisors and central bank teams.
What is the format, and can it be delivered in-house?
It is an intensive two-day programme built on real-world case studies and interactive sessions, delivered by BIZENIUS in English or French. An in-house edition can be tailored to your model inventory and governance maturity. Sessions run on a rolling calendar with dates confirmed on request; fees and quotations are provided on enquiry.
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In their words
Knowledge transfer, emphasised throughout
“We worked with BIZENIUS for our Fresh Graduates Programme — they are simply amazing. Knowledge transfer and practical learning were emphasised throughout.”
Kuwait Investment Authority
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Take the brochure with you.
One request — the full agenda, the faculty and the next cohort dates, sent personally by the admissions team.