Why should you attend?

Center for Financial Professionals launches its third annual Advanced Model Risk Congress in Midtown Manhattan, New York City. Come and join us on March 12-13, 2024 to alleviate your modeling techniques and enhance your knowledge to take back to your team.

As the technological landscape continues to evolve, it is critical to advance your modeling techniques to ensure best practice in your organization. Advanced Model Risk USA is the go-to congress to build on your professional development with our 7+ hours of networking opportunities and carefully curated agenda of industry thought leaders.

Key highlights

  • Black Box Models:
    Increasing transparency to understand Black Box methodologies
  • Large Language Models :
    Aligning Large Language Models with traditional model risk frameworks
  • Bias and Explainability:
    Manging toxic results of AI/ML and Large Language models
  • Quantifying Model Risk:
    Enhancing model portfolios to quantify model risk
  • Performance Monitoring:
    Ongoing performance monitoring to establish model risk management
  • Machine Learning :
    Developing AI/ML into model risk management programmes
  • AI Governance:
    Defining best practice of AI/ML models
  • Climate Risk:
    Defining climate risk into modelling portfolio

Interact with industry front-runners and subject matter experts

Join us for an engaging, timely and carefully curated agenda across 2-days.

Our agenda ensures a deep dive into the timeliest topics of Advanced Model Risk and is explored through presentations, panel discussions, and live Q&A’s to enhance learning

Learn from our line-up of industry thought leaders as they share their expertise.

Become proficient in the topic by homing in knowledge from 20+ subject-matter experts and return to your department with newly developed skill sets and ideas.

Continue conversations with our 7+ hour networking opportunity.

Make most of our 6 networking breaks across the two days plus a complimentary cocktail hour and continue conversations beyond the stage to create meaningful industry connections.

Key speakers

Agus

Agus Sudjianto
EVP, Head of Corporate Model Risk
Wells Fargo

RoderickPowell_ProfessionalPicture

Roderick Powell
SVP, Head of Model Risk Management
Ameris Bank

julia_litvinova

Julia Litvinova
Managing Director, Head of Model Validation and Analytic
State Street

manoj_singh

Manoj Singh
Managing Director, Model Risk Officer
Bank of America

unknown headshot

Xiangyin (Jane) Zheng
Audit Director
BNY Mellon

Steve_wo_tie

Stephen Hsu
SVP, Head of Model Risk Management
Pacific Western Bank

Rodanthy_

Rodanthy Tzani
Head of Model Risk Management
New York Life Insurance Company

1538608357491

Ankur Goel
SVP, Head of Consumer and Fraud Modelling
PNC

Arthur_Robb_head_shot

Arthur Robb
Managing Director – Head of Model Risk Management
TIAA-CREF

Janet_Shand

Janet Shand
Director, Model Risk Management
NYCB

Session previews and related insights

Get an insight of what to expect from the Congress with our past and present speaker session previews.

Balancing digital implementation whilst retaining customer relationships

Balancing digital implementation whilst retaining customer relationships Yawar Choudhry, Head of Client Services Proposition, Legal & General Below is an insight into what can be expected from Yawar's participation at CeFPro's Customer Experience Summit. {{ vc_btn: title=Find+out+more+about+Customer+Experience+Europe&style=outline-custom&outline_custom_color=%23001c64&outline_custom_hover_background=%23001c64&outline_custom_hover_text=%23ffffff&link=url%3Ahttps%253A%252F%252Fwww.cefpro.com%252Fforthcoming-events%252Fcustomer-experience-europe%252F }} The views and opinions expressed in this article are those of the thought leader as an individual, and are not attributed

Ensuring generative AI tools for use within AI applications are used ethically and responsibly

Ensuring generative AI tools for use within AI applications are used ethically and responsibly Dr. John Rates Almasan, Senior Managing Director, Head of ClienTech and AI, TIAA Below is an insight into what can be expected from John's participation at CeFPro's Digital Banking Congress. {{ vc_btn: title=Find+out+more+about+Digital+Banking+USA&style=outline-custom&outline_custom_color=%23d51224&outline_custom_hover_background=%23d51224&outline_custom_hover_text=%23ffffff&link=url%3Ahttps%253A%252F%252Fwww.cefpro.com%252Fforthcoming-events%252Fdigital-banking%252F }} The views and opinions expressed in this article

Anticipating how real-time payments landscape will continue to grow over the next year

Anticipating how real-time payments landscape will continue to grow over the next year Jim Maimone, SVP, Senior Enterprise Payments Platform Product Manager, Citizens Bank Below is an insight into what can be expected from Jim's participation at CeFPro's Digital Banking Congress. {{ vc_btn: title=Find+out+more+about+Digital+Banking+USA&style=outline-custom&outline_custom_color=%23d51224&outline_custom_hover_background=%23d51224&outline_custom_hover_text=%23ffffff&link=url%3Ahttps%253A%252F%252Fwww.cefpro.com%252Fforthcoming-events%252Fdigital-banking%252F }} The views and opinions expressed in this article are those of

Anticipating how real-time payments landscape will continue to grow over the next year

Anticipating how real-time payments landscape will continue to grow over the next year Barry Baird, Head of Payment, TD AMCB, TB Bank Below is an insight into what can be expected from Barry's participation at CeFPro's Digital Banking Congress. {{ vc_btn: title=Find+out+more+about+Digital+Banking+USA+&style=outline-custom&outline_custom_color=%23d51224&outline_custom_hover_background=%23d51224&outline_custom_hover_text=%23ffffff&link=url%3Ahttps%253A%252F%252Fwww.cefpro.com%252Fforthcoming-events%252Fdigital-banking%252F }} The views and opinions expressed in this article are those of the thought leader

Sponsors

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, please contact sales@cefpro.com or call us at +1 888 677 7007 for more information.

Just some of the organizations that have sponsored Advanced Model Risk in the past include:

Content and media partners

CeFPro Connect is content and media partner for Third Party & Supply Chain Risk USA
iNFRont Magazine is content and media partner to Third Party & Supply Chain Risk USA

Agenda

8:00 – 8:50

Registration and breakfast

8:50 – 9:00

Chair’s opening remarks

9:00 – 9:45

REGULATION – PANEL DISCUSSION
Enhancing model risk programs to manage divergence in regulatory expectations across jurisdictions

View Session Details

  • Restructuring and leveraging existing resources to comply with existing regulatory expectations
  • Managing current market environment changes due to bank collapses
    • Navigating tighten regulatory expectations
  • Enhancing model risk programs to deal with AI regulations
  • Different standards of regulations between the US and Europe
    • Aligning standards of international banks with US regulations
  • Adjusting liquidity balance management models due to new regulation requirements
  • Technological expectations to comply with FRTB and Basel 4
    • Building capacity, governance, and infrastructure to meet requirements
HEADSHOT8-1-100x100-1

Xiangyin (Jane) Zheng, Audit Director, BNY Mellon

Oscar_Zheng

Oscar Zheng, Executive Director, Head of Model Validation, Natixis CIB Americas

wei_zhu

Wei Zhu, Managing Director, Citi

9:45 – 10:20

COMPLIANCE
Defining a model to ensure compliance with regulatory expectations

View Session Details

  • Defining a standard for what constitutes a model
  • Classifying a clear definition of a modeling tool or solution
  • Approaches to dictating if a tool or solution is categorized as a model
    • MRM teams vs. SR117’s definitions of a model
  • Constituting a model and if it needs to be validated outside of SR117’s guidance
    • Managing the challenges and scope of validation requirements
  • Managing model risk as a risk and a compliance function
    • Looking at model risk beyond a one-size-fits-all all approach
Janet_Shand

Janet Shand, SVP & Director, Model Risk Management, NYCB

10:20-10:50

Morning refreshment break and networking

10:50-11:25

GENERATIVE AI
Understanding advances of generative AI and incorporating into model risk management to mitigate risk

View Session Details

  • Looking at AI beyond a model risk management framework
  • Increasing training to understand generative AI to fill gaps
  • Risk management framework vs. model risk management framework
  • Identifying methods to put governance into action for generative AI
  • Addressing the multiple tools and business outcomes of generative AI
  • Utilizing generative AI to drive efficiency and testing technical aspects
  • Risk rating multiple generative AI type models
    • Including privacy and legal teams
  • Testing the accuracy of AI and generative AI

11:25-12:00

MACHINE LEARNING
Developing an effective AI and machine learning model risk management program

View Session Details

  • Increasing number of machine learning models and tools
  • Understanding different algorithms and methodologies
  • Defining who is responsible for machine learning model risk management
  • Data governance in developing machine models
  • Learning landscape and following regulatory changes
  • Machine learning beyond traditional model risk testing
    • Breaking down complexity in methodology, transparency, and technology
  • Understanding AI/ML methodologies and non-transparent principles
  • Approaching and identifying key risk factors to ensure AI/ML models are fit for purpose
Aijun_WF

Aijun Zhang, SVP Machine Learning & Validation Engineering, Wells Fargo

12:00-12:35

LARGE LANGUAGE MODELS
Adapting traditional model risk frameworks to align with large language models

View Session Details

  • Testing and validating large language models
  • Developing a forward-look approach to large language models
  • Understanding the complexity of generative models for large language model validation
  • Creating a platform to implement and develop large language models to mitigate risks
  • Managing large language models beyond regulatory reporting
  • Building use cases of large language models using NLP
  • Controlling large language models whilst leveraging their functions
  • Transparency and best practices for risk frameworks
Agus

Agus Sudjianto, EVP, Head of Corporate Model Risk, Wells Fargo

12:35-1:35

Lunch break and networking

1:35-2:10

BIAS AND EXPLAINABILITY
Assessing and monitoring AI, machine learning, and large language models to avoid bias and toxic results

View Session Details

  • Safeguarding models to avoid reputational risk
  • Balancing model performance, robustness, and fairness
  • Going beyond traditional MRM functions to build models for explainability and bias testing
  • Managing uncertainties of acquiring data to ensure models are not biased
  • Transparency and explainability analysis within regulatory expectations
  • Having a consistent approach to bias and explainability
  • Managing stronger requirements for explainability of models in medium-to-long-term investing.
RoderickPowell_ProfessionalPicture

Roderick Powell, SVP, Head of Model Risk Management, Ameris Bank

2:10-3:25

BLACK BOX MODELS – PANEL DISCUSSION
Understanding the methodology of black box models and increasing transparency

View Session Details

  • Managing black box inputs and outputs
  • Machine learning tools outside of vendor black box models
    • Developing machine learning models and tools to validate internally
  • Validating machine learning models outside of black box models
  • Transparency with vendor black box models
  • Approaching black box models from a different perspective to further understand
    • Having a business approach
  • Obtaining documentation and tools from vendors to understand how the model performs well
seyhun

Seyhun Hepdogan, Director of Analytics, Fifth Third Bank

Moez-AMR

Moez Hababou, Head of Compliance, CCAR and Credit Models, BNP Paribas

Steve_wo_tie

Stephen Hsu, SVP, Head of Model Risk Management, Pacific Western Bank

Janet_Shand

Janet Shand, SVP & Director, Model Risk Management, NYCB

2:55-3:25

Afternoon refreshment break and networking

3:25-4:00

AI GOVERNANCE
Operationalizing governance best practices of AI and machine learning models

View Session Details

  • Integrating skill sets and disciplines
  • Governing AI beyond a traditional model space
    • Dealing with ethics, intellectual properties, reputational risks, and cyber security
  • Psychology and linguistic experts to manage limitations of AI governance
  • Governing AI beyond use case dependency
  • Quantitative tools to measure and manage AI Modeling
  • Meaningfully managing and governing AI/ml with model expansion
Rodanthy_

Rodanthy Tzani, Head of Model Risk Management, New York Life Insurance Company

4:00-4:35

MODEL INVENTORY
Managing complexities with the ongoing expansion of model risk scope and inventory

View Session Details

  • Putting enhancements in place to accommodate AI
  • Using 8 categories of Enterprise Risk Management for managing model governance and inventory
  • Considering generative AI in model risk inventory
  • Incorporating machine learning models into inventory
    • ChatGPT and Chatbots
  • Governance of new technologies and advanced models
  • Developing replacements for model risk management in inventory
  • Addressing the lack of inventory in risk management
1555681143940

Chris Smigielski, Director of Model Risk Management, Arvest Bank

4:35-4:45

Chair’s closing remarks

4:45

End of day one and drinks reception

8:00 – 8:50

Registration and breakfast

8:50 – 9:00

Chair’s opening remarks

9:00 – 9:45

GLOBAL VOLATILITY – PANEL DISCUSSION
Managing models with continued volatility and geopolitical challenges and the impact of change

View Session Details

  • Using current data to cross reference climate impact on modeling portfolio
    • Hurricanes, wildfire risks, flooding risks
  • Climate change impacts on ability to provide loans
  • Modelling physical and transition risk
  • Defining climate risk and constituting where it falls within the model portfolio
  • Managing the lack of data to foresee climate stress testing
  • Understanding the impact of specific climate stress on the path of macroeconomic variable
  • Standards for modeling climate risk
Headshot_AR

Alisa Rusanoff, Head of Credit, Crescendo Asset Management

julia_litvinova

Julia Litvinova, Managing Director, Head of Model Validation and Analytic, State Street

9:45-10:20

CLIMATE RISK –
Reviewing the impact of climate risk and incorporating within model risk management

View Session Details

  • Using current data to cross reference climate impact on modeling portfolio
    • Hurricanes, wildfire risks, flooding risks
  • Climate change impacts on ability to provide loans
  • Modelling physical and transition risk
  • Defining climate risk and constituting where it falls within the model portfolio
  • Managing the lack of data to foresee climate stress testing
  • Understanding the impact of specific climate stress on the path of macroeconomic variable
  • Standards for modeling climate risk
robin

C.Robin Castelli, Head of Transition Risk Model Development, Citi

10:20-10:50

Morning refreshment break and networking

10:50-11:25

FRAUD & FINANCIAL CRIME
Managing the increase in fraud and financial crime tools in model risk management inventory

View Session Details

  • Gathering data to govern and review financial crime tools
  • Fitting in tools into the traditional definition of models
  • Clearly defining financial crime models with regulatory expectations
  • Getting appropriate results from quantitative modeling tools
  • Evaluating conceptual soundness to ensure the model is fit for use
  • Including new dimensions and updating models to capture fraud
  • Capturing potential fraudulent events using fraud detection modeling
    • Building systems to flag potential threats
1538608357491

Ankur Goel, SVP, Head of Consumer and Fraud Modelling, PNC

11:25-12:10

MACROECONOMIC ENVIRONMENT – PANEL DISCUSSION
Understanding how models are measuring interest rate exposure and recalibrating based on market changes

View Session Details

  • Identifying key factors of interest rate risk that models need to capture
  • Adapting models for emerging risk using historical data
  • Adapting model risk processes to identify weaknesses in the framework
    • Addressing limitations imposed by regulators and monetary
  • Measuring risks accurately and having a sufficient view of measuring interest rate risk
  • Incorporating important and significant elements
    • ALM – data science problem vs. accounting problem
katherine

Katherine Zhang, Managing Director, State Street

Charlie_Lu

Charlie Lu, Former Managing Director, Head of AI/ML Model Risk Management, Barclays 

12:10-1:10

Lunch break and networking

1:10-1:45


QUANTIFYING MODEL RISK
Quantification of model risk and the aggregated model portfolio for end-to-end model risk management

View Session Details

  • Assessing the overall risk of an interconnected model network
  • Developing a quantitative measurement beyond risk ratings
  • Practical and effective ways to quantify model risk
  • Understanding the importance of an aggregated model portfolio to mitigate emerging risks
  • Intersection and connection point between models
  • Verifying and monitoring the data between model
manoj_singh

Manoj Singh, Managing Director, Model Risk Officer, Bank of America

1:45-2:20


DATA
Managing the evolution of data requirements as model requirements expand

View Session Details

  • Incorporating Covid data into modeling
  • Controlling covid data
  • Updating models using credit loss forecasting models
    • Should Covid data be included in these?
  • Addressing unpredictable Covid data in the models
  • Ensuring models predict credit loss appropriately
  • Addressing credit loss due to unprecedented scenarios
    • Pandemics

2:20-2:55


VENDOR MODELS
Leveraging vendor models and building out effective oversight capabilities to align with internal governance and controls

View Session Details

  • Understanding the risk and controls with third parties and model risk management
  • Building relationships with third parties for model risk management
    • Having transparency with third parties
    • Reviewing vendor documentations
  • Developing internal models to mitigate third-party risks
    • Capabilities and resources
  • Aligning with vendors to mitigate impacts and risk
  • Performance measures of vendor models
  • Model validation support to ensure new systems meets all requirement
    • Managing constant changes from the compliance side
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Hany Farag, Head of Modelling Methodology, CIBC 

2:55-3:25

Afternoon refreshment break and networking

3:25-4:00

PERFORMANCE MONITORING
Strengthening model risk management through ongoing performance monitoring

View Session Details

  • Regulatory expectations of ongoing performance monitoring of model risk
    • Tracking and validating model performance
  • Addressing the thresholds of ongoing model performance monitoring
    • Setting tolerance levels on performance
  • Incorporating automation in ongoing performance monitoring
  • Identifying risks between performance reviews
Arthur_Robb_head_shot

Arthur Robb, Managing Director, Head of Model Risk Management, TIAA-CREF

4:00-4:35

CREDIT RISK
Incorporating emerging credit risks into model risk management frameworks and measuring exposure

View Session Details

  • Measuring model exposure to a high inflation environment
  • Limitations of models and anticipation of risks
  • Adapting concurrent views of model risk to mitigate counterparty credit risk
  • Incorporating modeling metrics into daily risk management
  • Incorporating overlays into models for credit risk management
  • Balance sheet and trading book positioning for decision-making
  • Alignment for business changes in the horizon on credit risk
  • Developing credit risk modeling strategies
Daniel saunders

Daniel Saunders, Head of Model Risk Management, USAA 

4:35-4:45

Chair’s closing remarks

4:45

End of Congress

2024 Speakers

Hear from subject matter experts and industry thought leaders

Speaker-HS-1 (2)

Senior Executive
Societe Generale tbc

robin

C.Robin Castelli
Head of Transition Risk Model Development
Citi

1543193761336

Hany Farag
Head of Modelling Methodology
CIBC 

1538608357491

Ankur Goel
SVP, Head of Consumer and Fraud Modelling
PNC

Moez-AMR

Moez Hababou
Head of Compliance, CCAR and Credit Models
BNP Paribas

seyhun

Seyhun Hepdogan
Director of Analytics
Fifth Third Bank

Steve_wo_tie

Stephen Hsu
SVP, Head of Model Risk Management
Pacific Western Bank

julia_litvinova

Julia Litvinova
Managing Director, Head of Model Validation and Analytic
State Street

Charlie_Lu

Charlie Lu
Former Managing Director of Model Risk Management
Barclays 

RoderickPowell_ProfessionalPicture

Roderick Powell
SVP, Head of Model Risk Management
Ameris Bank

Arthur_Robb_head_shot

Arthur Robb
 Managing Director, Head of Model Risk Management
 TIAA-CREF

Headshot_AR

Alisa Rusanoff
Head of Credit
Crescendo Asset Management

Daniel saunders

Daniel Saunders
Head of Model Risk Management
USAA

Janet_Shand

Janet Shand
SVP & Director, Model Risk Management
NYCB

manoj_singh

Manoj Singh
Managing Director, Model Risk Officer
Bank of America

1555681143940

Chris Smigielski
Director of Model Risk Management
Arvest Bank

Agus

Agus Sudjianto
 EVP, Head of Corporate Model Risk
 Wells Fargo

Rodanthy_

Rodanthy Tzani
Head of Model Risk Management
New York Life Insurance Company

Aijun_WF

Aijun Zhang
SVP Machine Learning & Validation Engineering
 Wells Fargo

katherine

Katherine Zhang
Managing Director
State Street

Oscar_Zheng

Oscar Zheng
 Executive Director, Head of Model Validation
Natixis CIB Americas

HEADSHOT8-1-100x100-1

Xiangyin (Jane) Zheng
Audit Director
BNY Mellon

wei_zhu

Wei Zhu
Managing Director
Citi

Sponsors

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, please contact sales@cefpro.com or call us on +1 888 677 7007 for more information.

Just some of the organizations that have sponsored Advanced Model Risk in the past include:

Venue & FAQs

360 Madison Avenue | etc.venues
Madison Avenue
Midtown Manhattan
New York NY 10017

There is no accommodation available at the venue, however, there are plenty of hotels available nearby. To view nearby accommodation based on recommendations by etc.venues, click here.

Frequently asked questions

Frequently Asked Questions

Can I share my thought leadership at Advanced Model Risk USA?

CeFPro are happy to discuss speaking opportunities at the Advanced Model Risk Congress. For further information on this please contact production@cefpro.com if you are from a financial institutions / sales@cefpro.com if you are an information/service provider or call us on +1 888 677 7007

Will there be opportunities to network with other attendees?

There are ample opportunities for networking and interaction throughout the Congress, such as:

  • Breakfast, lunch and refreshment breaks
  • Drinks reception at the end of day-1
  • Q&As, panel discussions, and audience participation technology

What is included within the registration fee?

Registration includes breakfast, refreshment breaks, lunches, the drinks reception at the end of day-1, full access to the sessions and exhibition area. Presentations from the sessions are also available via our post-event website, available on CeFPro Connect under Course Materials once the Congress has taken place.

Where can I find the Congress documentation and speaker presentations?

All registered attendees will receive an email with access to documentation and speaker presentations after the Congress*. We will work with our presenters to include as many presentations as possible on our App during the Congress.

* Please note that our speakers often have to gain permission from their relevant compliance departments to release their presentations. On rare occasions compliance may not allow presentations to be distributed.

Will breakfast, lunch and refreshment be provided?

Yes. As with all of our events, the Center for Financial Professionals will be providing brilliant coffee, breakfast, lunch, refreshments, and smaller bites during the networking breaks.

Are there any rules on dress code?

Business attire is requested. The Congress is a formal opportunity to network with like-minded professionals and to gain knowledge from the industry’s finest risk management experts.

Are CPE Credits available?

Yes, CPE Credits are available for the Advanced Model Risk Congress. Please contact marketing@cefpro.com for more information.

Register

Register for Advanced Model Risk USA and join the likes of 100+ industry professionals and subject matter experts looking to engage in meaningful conversation and discuss the latest sector developments, trends, and challenges.

Register before to take full advantage of our launch rate special offer.

Need assistance with your registration? Get in touch with us via email below, or call us on + 1 888 677 7007

Pre-agenda rate

Representing a financial institution or government body
$599

E.g. Bank, Insurance company, Asset manager, Regulator

Representing an information or service provider
$1199

E.g. Consultant, Vendor, Executive search firm, Law firm

*To qualify for the preferential rates above, registration must be received by the close of business of the specific end date for each rate. Payment can be made at the time of registering, or up to a week after an invoice has been sent. CeFPro reserves the right to increase rates should payment be delayed significantly. Should a delegate register at a rate that is inaccurate, CeFPro reserves the right to issue an additional invoice for the outstanding amount.