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Speaker "Pamela Jasper" Details Back

 

Topic

Workshop: Kubeflow-based ML Model Risk Management with streamlined SR11-7 compliance

Abstract

The lack of updated compliance reporting for machine learning models frequently blocks profitable models from being deployed. Financial organizations need a process to produce reports and artifacts for governmental regulators, such as those defined in the Federal Reserve’s SR11-7 Guidance on Model Risk Management. In this workshop, attendees will receive a valuable briefing of Model Risk Management’s background, requirements and benefits as well as how AI ethics apply to Financial organizations. The second section of the workshop will provide an update on Kubeflow, which is a popular open source MiP framework for machine learning on Kubernetes. The final section will review a demonstration of Fairly’s Model Risk Management system, which leverages Kubeflow and provides a streamlined user experience for deploying models and producing compliance reports that will satisfy SR-117 requirements.
Who is this presentation for?
CXOs, Board members, Data Scientists, AI Software Engineer Leads, Regulators, Legislators, Legal, Compliance
Prerequisite knowledge:
Basic concepts of AI
What you'll learn?
In this workshop, attendees will receive a valuable briefing of Model Risk Management’s background, requirements and benefits as well as how AI ethics apply to Financial organizations.

Profile

Pamela M. Jasper, PMP is a global financial services technology leader with over 30 years of experience developing front office capital markets trading and quantitative risk management systems for investment banks and exchanges in NY, Tokyo, London, and Frankfurt. Pamela developed a proprietary Credit Derivative trading system for Deutsche Bank and a quantitative market risk VaR system for Nomura. Pamela is the CEO of Jasper Consulting.AI through which she provides advisory and audit services for AI Ethics governance. Based on her experience as a model risk program manager at DTCC and elsewhere, Pamela created an AI Ethics governance framework called FAIR – Framework for AI Risk Management which was presented at the NeurIPS 2020 AI conference. Pamela is available as an Advisor, Auditor and Keynote Speaker on AI Ethics Governance. She is a member of BlackInAI, The Professional Risk Managers Industry Association, and ForHumanity.