
10am – 1:30pm ET / 3pm – 6:30 pm GMT
ADVANCED MODEL RISK
22-23 February, 2022 | Global Virtual

MODEL DEFINITION
Managing expanded scope of models including AI and qualitative
EVOLUTION
Reviewing the evolution of model risk and future scope
AI & MACHINE LEARNING
Controls to manage proliferation of AI/ML models
QUANTIFICATION
Quantifying model risk and managing increased volatility
ETHICS & BIAS
Managing ethical decision making and mitigating risk of bias
COMPUTER VISION
Leveraging technology advances in digital banking
MODEL ALGORITHMS
Challenges and solutions of model algorithms in broker dealer
ESG
Modeling climate risk and ESG exposure



Olga Collins
ED, Global Head of Model Risk Infrastructure and Reporting
Morgan Stanley

Irfran Kazi
Director, Advanced Analytics and Data Management
CIBC

Justyna Van Barneveld
Head of Framework and Reporting, Model Risk Management
ING

Xiaoling Yu
Director of Model Validation
Keybank

Allan Forrest
Head of Model Risk Oversight
Virgin Money UK

David Palmer
Senior Supervisory Financial Analyst
Federal Reserve Board


CAN YOUR ORGANIZATION CONTRIBUTE?
Please contact the Center for Financial Professionals today to discuss how we can deliver your thought-leadership at the event, help you generate leads, and provide you with unique networking and branding opportunities. For more information on what we can offer, please contact [email protected] or call us on +44 (0) 20 7164 6582 where a member of the team will be happy to tailor the right package for you.
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9:50 Chair’s opening remarks
PANEL DISCUSSION
Session details
- Scope of model risk and validation work expanding
- Depth of analysis required from regulators
- Trend towards outsourcing aspects of model risk
- Inclusion of validation in outsourcing work
- Maintaining resources with increasing demand
- Drivers behind resource constraints and scaling up internally
- Inclusion of qualitative models under model risk
Justyna van Barneveld, Head of Framework and Reporting, Model Risk Management, ING
Olga Collins, ED, Global Head of Model Risk Infrastructure and Reporting, Morgan Stanley
Irfan Khan, Director, Advanced Analytics and Data Management, CIBC
EXTENDED SESSION
Session details
- Speed of development and deployment
- Application beyond traditional model scope
- Impact on control standards with increased use
- Recognition of process constraints and risks
- Accepting lower control and development standards to stay ahead of competition
- Validation requirements
- Validation frequency
- Automating validation
- Regulatory framework for treatment of AI/ML models
- Application of old concepts to new models
- Model validation and model lifecycle: Developing standardised methodology
- Dynamic adaptation to new data
- Managing reputational risk of model output
- Scaling up model production in a fast paced environment
Irfan Khan, Director, Advanced Analytics and Data Management, CIBC
11:50 Networking break
ETHICS AND BIAS
Session details
- Understanding how models are trained
- Imitation of human decisioning
- Feeding unconscious bias into machines
- Managing risk of bias in models
- Managing bias to protected characteristics
- Developing tests and structures into models to demonstrate to regulators
- Ethics of decision making
- Transparency around decision making and ethics
- Producing socially acceptable outcomes
INFLATION
Session details
- New and traditional applications within BD
- Regulatory requirements in the industry across Europe and the US
- Expectations for model risk management
- Successful strategies for model automation
- Outlook and challenges ahead
Julian Horky, Head of Risk Controlling, Berenberg Capital Markets
1:30 Closing remarks and end of day one




9:50 Chair’s opening remarks
EVOLUTION – PANEL DISCUSSION
Session details
- Fintech as a driver within model risk
- Behavioural models and uses within areas including financial crime
- Direction of model risk towards machine learning
- Definitions and scope of global regulation
- Evolution of economies and political environments and impact on models
- Foundational capabilities to evolve quickly
- Impact of legacy infrastructures on evolution
- Impact of remote working and resourcing skill gap
- Maintaining proprietary models in remote environment
- Impact of Covid on modeling
- Treatment of extreme events
- Developing models for future resilience
Chris Smigielski, Model Risk Director, Arvest Bank
Saqib Jamshed, MD, Model Risk Management, The OCC
QUANTIFYING MODEL RISK
Session details
- Application across model types
- Common approach to quantify model risk capital
- Expectations from senior management
- Communicating to the board
- Impact on books with model risk uncertainty
- Quantifying rare but significant events with limited data
- Managing extreme uncertainty around scenarios
- Building volatility into models
- Managing long term change
- Determining what changes were permanent vs. reactive
- Lessons learnt from rapid change and adaptation
Alan Forrest, Head of Model Risk Oversight, Virgin Money UK
11:30 Networking break
COMPUTER VISION
Session details
- Moving away from traditional banking models
- Leveraging remote capabilities to serve customers
- Using selfies and passport photos for authentication
- Move to digital phone services
- Use of bots on WhatsApp for customer service
PANEL DISCUSSION
Session details
- Identifying models to use
- Determining approach with internal or external models
- Feedback and expectation from regulators
- Building independent models
- Defining climate risk to advance model processes
Xiaoling Yu, Director of Model Validation, Keybank
Xiangyin Zheng, Audit Director, BNY Mellon
Suman Datta, Head, Portfolio Quantitative Research, Lloyds Banking Group
1:20 Closing remarks and end of day two





Olga Collins
ED, Global Head of Model Risk Infrastructure and Reporting
Morgan Stanley
Olga Collins will be presenting at Virtual Advanced Model Risk

Suman Datta
Head, Portfolio Quantitative Research
Lloyds Banking Group
Suman Datta will be presenting at Virtual Advanced Model Risk

Allan Forrest
Head of Model Risk Oversight
Virgin Money UK
Alan Forrest will be presenting at Virtual Model Risk

Julian Horky
Head of Risk Controling
Berenberg Capital Markets

Saqib Jamshed
MD, Model Risk Management
The OCC
Saqib Jamshed currently serves as Managing Director – Model Risk Management at the Options Clearing Corporation in Chicago. He has held senior Risk Management positions at State Street Corporation and GE Capital. Saqib spent the bulk of career at the Royal Bank of Scotland where he started out as a Programmer and then moved on to become a trader on the fund derivatives desk. He earned a Masters in Electrical Engineering from University of Michigan and an MBA from the University of Connecticut.

Irfan Kazi
Director, Analytics and Data Management
CIBC
Irfan Kaziwill be presenting at Virtual Advanced Model Risk

David Palmer
Senior Supervisory Financial Analyst
Federal Reserve Board
David Palmer is a senior supervisory financial analyst in the Division of Banking Supervision and Regulation at the Federal Reserve Board. He focuses on several primary topic areas, including banks’ capital planning practices, banks’ model risk management practices, banks’ and supervisors’ stress testing activities, validation of supervisory stress testing models, and banks’ credit risk capital models. He engages in both policy-related projects as well as on-site examinations. David was a primary author of the Federal Reserve’s Supervisory Guidance on Model Risk Management (SR 11-7), issued in April 2011 jointly with the OCC (and more recently with FDIC), and continues to lead the implementation of that guidance within the Federal Reserve. He was also a key contributor to the Federal Reserve’s supervisory guidance on capital planning for large firms issued in December 2015 (SR Letters 15-18 and 15-19), as well as to the Federal Reserve’s final rules to implement Dodd-Frank stress testing requirements and the Federal Reserve’s Capital Plan Rule. More recently, David has been involved in evaluating supervised firms’ use of fintech, including artificial intelligence/machine learning.
He has a bachelor’s degree from Oberlin College and a master’s degree from Georgetown University.

Chris Smigielski
Model Risk Director
Arvest Bank
With over 30 years of financial services industry experience, Chris has an in-depth knowledge of model governance, model validation, financial model development, market risk modeling, Asset Liability Management, and team development. Chris is currently the Director of Model Risk Management at Arvest Bank and was previously Vice President, Director of Model Risk Management at TIAA Bank for five years. His experience includes leadership roles at Diebold and Fiserv, where he consulted with financial institutions nationally and internationally to design and implement financial strategies to maximize productivity and growth, as well as Asset/Liability Management and quantitative analysis at HSBC and First Niagara Banks.

Justyna van Barnevel
Lead Framework & Governance – Model Risk Management
ING
Justyna van Barneveld is a Senior Risk Manager with experience in financial services industry – wholesale and retail banking and investment management. She is specialized in Model Risk Management, Non-Financial Risk, Enterprise Risk Management and Compliance/AML. Since 2019, she is working for ING Bank in Amsterdam, where she is leading the Policy and Governance team of the Global Model Risk Management.

Xiaoling Yu
Director of Model Validation
KeyBank
Sean (Xiaoling) Yu is a SVP and Director of Model Validation at KeyBank. He has over 10 years of experience in the financial services industry in different quantitative modeling roles. His areas of functional expertise include Consumer and Commercial Credit Risk, Stress Testing, Allowance/Reserve, Capital Modeling, Risk Analytics, and Model Governance. Prior to Key, Sean was Sr. Group Manager of Quantitative Analytics and Model Development in PNC Financial Service Group. He started his financial services career in National City Bank as a Sr. Capital Allocation Analyst after worked as a Research Consultant at the Center for Regional Economic Issues of Case Western Reserve University. Sean has a Ph.D. in Economics from Case Western Reserve University, and a Master in Management Science and a Bachelor in Industrial Economics from Tianjin University.
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Xiangyin (Jane) Zheng
Audit Director
BNY Mellon
Jane Zheng is an audit director in BNY Mellon. She leads the model risk audit team in Internal Audit (IA) department and is responsible for supporting IA for all model risk audit projects which cover model risk management framework and a diverse array of model types including pricing, market risk, credit risk, operational risk, liquidity risk, interest rate risk, counterparty risk, capital planning / stress testing, Basel, CECL, IFRS9, compliance, and investment management.
Jane holds a PhD in quantitative field and three professional designations: Financial Risk Manager (FRM), Chartered Financial Analyst (CFA), and Chartered Alternative Investment Analysts (CAIA).






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Please contact the Center for Financial Professionals today to discuss how we can deliver your thought-leadership at the event, help you generate leads, and provide you with unique networking and branding opportunities. For more information on what we can offer, please contact [email protected] or call us on +44 (0) 20 7164 6582 where a member of the team will be happy to tailor the right package for you.

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