WORLD BANKING RISK MANAGEMENT SUMMIT 2025

26-27-28 November 2025, Park Plaza Hotel Amsterdam

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Agenda

WORLD BANKING RISK MANAGEMENT SUMMIT

November 26-27-28, 2025 - Park Plaza Hotel Amsterdam

This three‑day flagship conference by PulseCore Events brings together 500+ senior risk leaders and banking professionals from global financial institutions
With approximately 50 exhibitors and 32 expert speakers, it offers a comprehensive deep dive into the evolving landscape of banking risk Management
Key Focus Areas
The Summit is structured to offer two broad thematic streams:
Credit Risk Management: Adapting to regulatory shifts, evolving macroeconomic and climate-related impacts, integrating ESG in risk models, and building AI/ML-powered credit risk frameworks.
Operational Risk & Digital Resilience: Tackling cybersecurity threats, fraud detection, fintech integration, compliance culture, and real-time monitoring mechanisms
Other topics include the influence of global crises, pandemics, and inflationary pressures on banking stability and risk strategy adaptation

Testimonial

Discover insights and testimonials from industry leaders at the World Banking Risk Management Summit, held in Park Plaza Hotel Amsterdam from November 26-28, 2025. Join global experts as they share their success stories, innovations, and breakthroughs shaping the future of digital banking. Don’t miss this exclusive opportunity to learn from top voices in the field!

Speakers

Join industry-leading experts and visionaries at the World Banking Risk Management Summit, 26-27-28 November 2025, in Park Plaza Hotel Amsterdam. Hear from global digital banking leaders as they share insights on the future of fintech, AI-driven customer experiences, cybersecurity, and financial inclusion. This premier event gathers thought leaders, innovators, and decision-makers to discuss and shape the next wave of risk management. Don’t miss the opportunity to learn from and network with top speakers driving excellence : Risk management in banking worldwide!

Stefan Zima

Head Group Regulatory Compliance Officer - Raiffeisen Bank , Austria

Karlis Danevics

CRO - SEB, Latvia

Zsolt Jaczko

Head of Retail IRB Modelling | Risk Modelling - Nationwide, UK

Ishtiaq Ahmed

Senior Manager, Strategic Revenue Development HSBC, UK

Ido Gonen

Head of Credit Risk ABN AMRO, Netherlands

Swagatam Sen

Executive Director FCC Tech Advisory Santander Corporate & Investment Banking, UK

Aymeric Chauve

Director – UK Head of Credit - Societe Generale, UK

Ayan Mukherjee

Senior Chapter Lead Model Validation, Model Risk Management ING, Netherlands

Ulf Holmberg

Senior Analyst - Swedbank, Sweden

Jakob Lavröd

Jakob Lavröd Model Development and Quantitative Analysis Handelsbanken, Sweden

Edgars Sedovs

Head of Enterprise Risk & Credit Risk Management - Rietmu Banka, Latvia

Darius Grinvaldas

Head of Risk Analytics - Luminor Bank, Lithuania

lrina Lazar Visu

Director of Operational Risk and Permanent Control Orange Bank, France

Behrouz Raftari Tangabi

Lead Validator | KYC & Compilance ING, Netherlands

Riccardo Volpato

Senior Manager - Group Head of Model Risk Model Indentification Intesa Sanpaolo. Italy

Christopher Nason

Director, Global Head of Business Intelligence Unit | Anti-Financial Crime - Deutsche Bank

Marili Anderson

Managing Director,Head of Compliance - Rabobank, UK

Carolin Hertling

Model Risk Managment, Commerzbank, Germany

Stefan Notz

Head of Credit Risk Analytics & IT and Deputy Head of Group Credit Risk VP BANK, Switzerland

Dirk Effenberger

Head of Investment Risk - UBS, Switzerland

Schedules

Join the World Banking Risk Management Summit, 26-27-28 November 2025, in Park Plaza Hotel Amsterdam. Discover cutting-edge trends, network with global industry leaders, and gain insights into the future of digital banking. Don't miss out on sessions, workshops, and panel discussions designed to drive innovation and excellence in financial technology.

9:00

Evolving a Model Risk Management Framework to tackle AI challenges:

Regulatory expectations – increasing supervisory focus on model governance and responsible AI practices. Expansion and growing use of models, especially those leveraging AI and Machine Learning techniques. Evolution of model tiering methodologies to capture the specific risks and complexities of AI-driven models. Evolution of model risk assessment methodologies to ensure adequate evaluation of AI/ML model behavior and performance. Definition of an AI risk appetite, establishing clear boundaries for acceptable levels of model uncertainty

9:40

Operationalizing Data and Innovation Through a Resilient Risk Culture and Change Risk Management

Embedding a Data-First Mindset The Role of Risk Culture Mastering Transformation: Effective Change Risk Management Adapting to Evolving Regulations: Compliance Without Stifling Growth Leveraging Alternative Data: Enhanced Insight and Financial Inclusion Adapting to evolving regulatory requirements while maintaining strong risk governance and compliance Utilizing alternative data sources to improve risk insights and expand financial inclusion

11:00

The latest Failure to Prevent Fraud legislation and managing the Compliance extra-territoriality risk in a global organisation

The latest Failure to Prevent Fraud legislation and managing the Compliance extra-territoriality risk in a global organisation

11:40

Content Example: “capturing geopolitical risk in an asset al

Understanding how geopolitical risks and developments can impact financial markets Assessing a portfolio’s exposure to geopolitical risks (historical vs forward looking analysis) Mapping geopolitical events and investment actions Understanding the long-term consequences of secular political shifts on financial markets Utilizing AI-powered risk modeling to improve early warning systems and loss forecasting Automating credit decisioning processes to enhance efficiency and reduce operational costs Integrating alternative data sources to expand financial inclusion and refine risk assessments

13:30

Going Beyond Due Diligence in Risk

This session examines due diligence challenges in managing high-risk relationships and transactions, exploring techniques for in-depth integrity reviews and the implications of rising misinformation.

14:10

Lombard Risk Management during Times of Uncertainty

What are the key elements of a robust Lombard Risk Management Framework? How to build a Strategic Lombard Risk Model Framework? How to effectively apply the Lombard Risk Management Framework during times of uncertainty and market stress?

15:30

Advancing Credit Risk Strategies Through Data-Driven Decision-Making

Leveraging big data analytics to enhance risk assessment and credit decisioning Integrating real-time data insights to improve portfolio management and loss forecasting Utilizing AI-driven models to refine credit scoring and mitigate default risks Strengthening data governance frameworks to ensure regulatory compliance and reporting accuracy

9:00

Geopolitical Risk: Resilience and Strategy

History doesn’t repeat itself, but it rhymes: Drawing on the past to anticipate changes in the future Stress-testing in turbulent times: Navigating disruptions to energy, trade, and capital flows amid rising global tensions Shielding balance sheets and forming strategies: Staying agile and aligned in a rapidly shifting geopolitical landscape

9:40

At the crossroad between market and credit risk: focus on counterparty credit risk

Introduction Simplified taxonomy Main CCR metrics RISK MITIGATIOn (legal and margining) Making a « ccr » credit decision Conclusion and q&a

11:00

Impact of AI on Model Risk Management

Principles for trustworthy AI and AI culture AI governance, tackling regulatory ambiguity, considering model risk management framework, establishing an AI governance mesh Challenge of inventories: How to bring AI use cases and model inventory together?

11:40

Fire Side Chat

Fire Side Chat

13:30

Managing systemic risk in the middle of AI Gold Rush

AI Gold Rush – Innovation outpacing Governance From Local Failures to Systemic Risk : What's changing Drivers of Systemic Fragility in AI-integrated Economies Principles for building Resilient and Diversified AI Ecosystem

14:10

Geopolitical Risk: Identifying Threats and Strengthening Bank Resilience

Understanding key geopolitical risks impacting the banking sector today Effective strategies for identifying and mitigating geopolitical threats in an evolving global landscape Building resilience to navigate geopolitical crises and minimize operational disruptions Preparing banks for future geopolitical challenges and ensuring long-term risk management

15:30

Redefining the Corporate Lending chain in the age of digital Transformation

Transforming a traditional lending street Design principles that will reduce time to cash drastically Examples of the new lending journey's Required cultural change

9:20

KYC and AI

Supervised ML in transaction monitoring introduces risks like label reliability, drift, interpretability, bias, and compliance challenges. AI-driven CDD reviews for low-risk customers face issues with drifting labels and regulatory compliance. Fairness concerns in TM and CDD arise when AI models influence transaction monitoring and risk ratings without transparent processes

11:00

Key Lessons Learned for Steering Risk and controlling set-up during significant Change

Managing risk frameworks effectively during banking entity closures or run-offs. Strengthening liquidity management and crisis response mechanisms. Adapting internal controls to meet new regulatory requirements such as DORA transposal. Building organizational agility to navigate uncertainty and maintain operational resilience

11:40

Stressing the Matrix – A Rate-Based Approach to Credit Transition Modeling

Transition matrices are widely used in credit risk, but they present challenges such as missing transitions that require ad-hoc fixes and complex dependencies that make stress adjustments difficult. How to estimate the rate intensity matrix from observed data Using neighboring elements to infer missing transitions Applying transparent stress adjustments by modifying rating intensities directly

11:40

Implementing Advanced Third-Party Risk Management to Mitigate Outsourcing Risks

Developing comprehensive third-party risk management frameworks to assess and monitor vendor relationships Implementing due diligence processes for selecting and onboarding vendors, ensuring alignment with security and compliance standards Establishing ongoing monitoring and performance evaluation mechanisms to identify and address potential risks Creating contingency plans and clear exit strategies to manage disruptions or failures in third-party services

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**Join Us for the World Banking Risk Management Summit!**

**Date:** 26-27-28 November 2025
**Location:** Park Plaza Hotel Amsterdam

Are you ready to shape the future of risk management in Banking ? Join industry leaders, innovators, and global experts at the **World Banking Risk Management Summit** to unlock cutting-edge insights and strategies for the next generation of banking.

**Why Attend?**
- **Engage** with global banking pioneers sharing the latest trends and technologies.
- **Network** with senior executives and industry disruptors from around the world.
- **Discover** transformative ideas in fintech, AI, blockchain, cybersecurity, and more.

**Secure your spot today and be part of the risk management revolution in banking!** Don’t miss this unique opportunity to lead, learn, and innovate at one of the most anticipated events in digital finance.

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