Chandrakant Maheshwari is a seasoned expert in Financial Risk Management with over 20 years of experience specializing in Model Risk Management Financial Crimes and AML Compliance. He is a thought leader in integrating AI technologies into risk management frameworks. Chandrakant is an advocate for using Generative AI to enhance model validation and risk assessment processes driving innovation while maintaining robust regulatory compliance. A published author and frequent speaker at industry conferences he is passionate about mentoring the next generation of risk professionals and advancing the practical applications of AI in finance.
All Sessions by Chandrakant Maheshwari
11:35 - 12:10
VALIDATION APPROACHES FOR BLACK-BOX MACHINE LEARNING MODELS
Cracking open the black box
Future-proofing validation for next-generation AI models
- Why traditional validation frameworks fail when applied directly
- Model-agnostic techniques: stress testing, perturbation analysis, and sensitivity methods without transparency
- Governance and documentation standards: aligning SR 11-7, NYDFS 504, and supervisory expectations with opaque models
- Case study: fraud detection model — iterative testing, remediation, and lessons learned
- Forward-looking view: preparing institutions for next-gen AI models and evolving regulatory scrutiny