Webcast

AI Governance in Financial Services 

Webcast Series

September 30 | October 7 | October 14

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Overview

With AI now embedded in critical financial decisions, the need for governance frameworks that ensure accountability, transparency, and trust has never been greater. Join thought leaders in risk, finance, and technology as they share insights on the present and near future of AI governance, and the ensuing new responsibilities placed on risk professionals, across the following three upcoming webcasts:

  • Wednesday, September 30: AI Governance in India: Innovation, Regulation and Responsible AI

  • Wednesday, October 7: Building AI Governance That Actually Works: From Principles to Practice

  • Wednesday, October 14: Establishing Trust in the Age of Agentic AI: How Do We Govern Systems That Act Autonomously?

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Details

September 30
8:00 AM - 9:00 AM EDT

October 7
11:00 AM - 12:00 PM EDT

October 14
11:00 AM - 12:00 PM EDT

Online
Link Emailed Upon Registration

Contact

Questions can be directed to the
GARP Events team.

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Agenda/Schedule

*Date and Time noted as EDT

    September 30, 2026

  • As India's AI landscape and regulatory direction continue to evolve, risk professionals are grappling with new regional governance challenges. Join our speakers as they examine the governance capabilities that will matter most for Indian financial institutions in the years ahead; the current state of third-party risk, cloud providers, and AI ecosystems in India; and the lessons global financial institutions can draw from India's experience with AI-driven financial inclusion.

    Speakers

    Nivetha Sridhar, FRM, RAI, Senior Manager - AI Governance, Risk & Regulatory Compliance, Accenture

    Deepak Kumar, FRM, RAI, Model Risk, AI/Quant Audit & AI Governance Lead, TIAA

    Moderator

    William May, Managing Director, Global Head of Certifications and Educational Programs, GARP

    October 7, 2026

  • What distinguishes an effective AI governance framework from a mere collection of policies, and how are leading institutions defining accountability for AI decisions? Join our speakers for a conversation on building AI governance frameworks that go beyond compliance, how boards should oversee AI when technology evolves faster than regulation, the governance practices emerging as industry standards, and more.

    Speakers

    Ken King, FRM, RAI, Head of GenAI Governance and Risk Director of AI, Citizens Bank

    Christophe Rougeaux, Global Head of Model and AI Risk Governance, TD

    Sarah-Joanna Zech, Head of Global Privacy Advisory & Data Ethics, Allianz

    Moderator

    Bill May, Managing Director, Global Head of Certifications and Educational Programs, GARP

    October 14, 2026

  • Is agentic AI drastically changing the AI governance conversation? And, if so, how can risk professionals respond? Join our panelists for a look at what separates agentic from traditional AI, how firms can define the boundary between human oversight and autonomous decision-making, and what regulators should prioritize as autonomous AI becomes more prevalent.

    Speakers

    Tina Fotopoulos, SVP, Senior Director, Head of AI Risk Oversight (2nd Line), First Citizens Bank

    Venkat Krishnamurthy, FRM, CFA, Principal Business Solutions Architect, State Street

    Justin Xu, Chief Quant and AI Officer, Milltech

    Moderator

    Bill May, Managing Director, Global Head of Certifications and Educational Programs, GARP

Speakers

Nivetha Sridhar, FRM, RAI

Nivetha Sridhar, FRM, RAI

Senior Manager- AI Governance, Risk & Regulatory Compliance | Strategy & Consulting, Accenture
Nivetha Sridhar, FRM, RAI

Nivetha Sridhar, FRM, RAI

Senior Manager- AI Governance, Risk & Regulatory Compliance | Strategy & Consulting, Accenture
Niventha Sridhar is a Senior Manager in AI Governance, Risk, and Regulatory Compliance at Accenture, where she has spent nearly seven years advising on AI strategy, model risk, data governance, fraud risk, and non-financial risk management across enterprise clients. Her career spans banking and consulting, with earlier roles at Axis Bank and IndusInd Bank providing a foundation in credit risk underwriting, treasury risk solutions, and structured financial products.
Deepak Kumar, FRM, RAI

Deepak Kumar, FRM, RAI

Model Risk, AI/Quant Audit & AI Governance Lead, TIAA
Deepak Kumar, FRM, RAI

Deepak Kumar, FRM, RAI

Model Risk, AI/Quant Audit & AI Governance Lead, TIAA
Deepak Kumar is a Model Risk, AI/Quant Audit, and AI Governance leader at TIAA, where he directs independent assurance across financial risk and ESG models, oversees enterprise model risk audit frameworks, and operationalizes governance controls for generative AI. With over 15 years of experience spanning TIAA, Citi, Tata Consultancy Services, and Punjab National Bank, he brings deep expertise in model validation, AI/ML governance, market risk, and regulatory compliance across both banking and investment management contexts.
William May

William May

Managing Director, Global Head of Certifications and Educational Programs, GARP
William May

William May

Managing Director, Global Head of Certifications and Educational Programs, GARP
William (Bill) May is the Managing Director of Global Head of Certifications and Educational Programs at GARP, and is responsible for the FRM, SCR, and other risk-relevant educational programs. Prior to joining GARP, William had over 20 years of market experience including serving as a Senior Director in Fitch Ratings’ credit market research group and as a Senior Research Officer at UBS Wealth Management. He has worked for several buy-side and sell-side firms including Bank of America and Federated Investors as well as specialty firms like Andrew Kalotay Associates and Law and Economic Consulting Group. He began his career in the research function of the Federal Reserve Bank of New York and has worked on the Open Market Trading Desk and as a bank examiner. William holds a BS in applied mathematics and economics from Stony Brook University; an MBA, MA in economics, and Advanced Certificate in financial econometrics and data analysis from Fordham University; an MS in financial engineering from the NYU Tandon School of Engineering, an MS in applied statistics and an EdM in measurement and evaluation from Columbia University’s Teachers College where he is currently pursuing an MS in neuroscience and education.
Christophe Rougeaux

Christophe Rougeaux

Global Head of Model & AI Risk Governance, TD
Christophe Rougeaux

Christophe Rougeaux

Global Head of Model & AI Risk Governance, TD
Christophe Rougeaux is Head of AI Risk Management at TD, where he builds and oversees the enterprise AI Risk Management Framework covering predictive, generative, and agentic AI use cases, following his role as Global Head of Model and AI Risk Governance at the same institution. Prior to TD, he spent nearly 12 years at McKinsey and Company, including as co-leader of the North America Model Risk Management service line, and brings additional background in quantitative credit risk from Credit Agricole CIB and NG Finance.
Ken King, FRM, CRCMP, AIGP, RAI

Ken King, FRM, CRCMP, AIGP, RAI

Head of GenAI Governance/ Risk Director of AI, SVP, Citizens
Ken King, FRM, CRCMP, AIGP, RAI

Ken King, FRM, CRCMP, AIGP, RAI

Head of GenAI Governance/ Risk Director of AI, SVP, Citizens
Ken King is a Senior Vice President at Citizens, where he leads the enterprise GenAI Governance program and serves as Risk Director of AI, directing the full lifecycle of AI risk assessment, governance policy, and responsible innovation across the organization. With 12 years at Citizens spanning model risk management and AI governance, he brings deep expertise in regulatory compliance, model lifecycle oversight, and cross-functional risk frameworks aligned to OCC and Federal Reserve standards.
Sarah-Johanna Zech

Sarah-Johanna Zech

Head of Global Privacy Advisory & Data Ethics, Allianz
Sarah-Johanna Zech

Sarah-Johanna Zech

Head of Global Privacy Advisory & Data Ethics, Allianz
Sarah Zech is Head of Global Privacy Advisory and Data Ethics at Allianz SE, where she has spent over eight years leading digital compliance and privacy governance at the group level following a career as a licensed attorney at law firms including GSK Stockmann, Peters Schönberger and Partner, and Rödl and Partner. Her background combines legal expertise with deep specialization in data privacy, digital compliance, and AI ethics within a major global insurance group.
Tina Fotopoulos

Tina Fotopoulos

SVP, Senior Director, head of AI Risk Oversight (2nd Line), First Citizens Bank
Tina Fotopoulos

Tina Fotopoulos

SVP, Senior Director, head of AI Risk Oversight (2nd Line), First Citizens Bank
Tina Fotopoulos is SVP and Head of AI Risk Oversight at First Citizens Bank, bringing over 25 years of financial services experience that includes nearly seven years at Wells Fargo leading AI strategy and governance, and 18 years at Bank of America spanning CFO risk and capital management and real estate structured finance. Her career reflects a broad foundation in financial risk that has evolved into a focus on enterprise AI governance and oversight at major U.S. banking institutions.
Venkat Krishnamurthy

Venkat Krishnamurthy

Principal Business Solutions Architect, State Street
Venkat Krishnamurthy

Venkat Krishnamurthy

Principal Business Solutions Architect, State Street
Venkat is a Principal Business Solutions Architect at State Street, where he develops enterprise AI governance frameworks and AI-readiness architectures for a $3T+ G-SIB spanning generative AI, machine learning, and agentic AI across Finance, Treasury, and Global Markets. He also serves as faculty at Northeastern University teaching graduate courses in data science and fintech, and brings deep experience in investment data infrastructure, capital stress testing, and CCAR program management from prior roles at Cambridge Associates, Berkshire Bank, and State Street.
Justin Xu

Justin Xu

Chief Quant and AI Officer, Milltech
Justin Xu

Justin Xu

Chief Quant and AI Officer, Milltech
Justin Xu is Chief Quant and AI Officer at both MillTech and Millennium Global, where he leads quantitative analytics, AI and machine learning strategies, and enterprise risk management across fintech and institutional investment management. He also serves as a member of the Bank of England and FCA Artificial Intelligence Consortium, contributing to the safe adoption of AI in UK financial services, and is a frequent speaker at international conferences on AI and quantitative finance.

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