WORLD BANKING RISK MANAGEMENT SUMMIT 2025

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

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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

Ratul Ahmed

Head of Model Risk Management & Validation - Commerzbank, Germany

Fabio Lania

Market Risk Manager - Intesa Sanpaolo, Italy

Carl Densem

Risk Manager Financial Markets - Rabobank, Netherlands

Aymeric Chauve

Director – UK Head of Credit - Societe Generale, UK

Fernando Blauzwirn

Head of Credit, CH and DIFC - HBZ Bank Zurich Switzerland

Ulf Holmberg

Senior Analyst - Swedbank, Sweden

Marie Leth Christensen

Head of Personal Banking Denmark Risk Management - Nordea, Denmark

Edgars Sedovs

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

Darius Grinvaldas

Head of Risk Analytics - Luminor Bank, Lithuania

Spiros Andronikakis

General Manager- Chief Risk Officer - Alpha Bank, Greece

Márton Nagy

Vice President - Operational Risk - Citi, Hungary

Dorota Wojnar

Head of ESG Risks Unit - European Banking Authority, France

Christopher Nason

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

Marili Anderson

Managing Director,Head of Compliance - Rabobank, UK

Steve Portway

Managing Director Operational Risk - Barclays , UK

Jack Smart

Operational Resilience Scenario Planner - Lloyd's Banking Group, UK

Dirk Effenberger

Head of Investment Risk - UBS, Switzerland

Michiel van Lunsen

Product Owner Credit Risk Model Validation - ING, Netherlands

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

Addressing Key Challenges in Credit Decisioning Through Models and Policies

Reliance on IRB and non-IRB models to balance historical data with emerging risks Wednesday 26th November - Credit Risk Importance of a flexible risk pricing setup, particularly under CRR3 and SA floor requirements Incorporating forward-looking features and overrides, including climate-related risk drivers Addressing technology infrastructure constraints to meet the high demands of credit models

9:40

Enhancing Risk Management Through Data & Innovation

Overcoming data quality and availability challenges to ensure accurate and timely credit risk assessment Leveraging AI and machine learning to enhance credit scoring, fraud detection, and predictive modeling 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

The Role of AI and Machine Learning in Credit Risk Assessment

Enhancing credit scoring models with AI-driven predictive analytics for more accurate risk evaluation Leveraging machine learning to detect fraudulent activities and mitigate financial crime risks 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

Navigating Evolving Regulatory Challenges in Credit Risk Management

Adapting to increasingly complex regulatory requirements to ensure compliance and risk mitigation Leveraging advanced data management solutions to maintain accuracy and transparency in reporting Implementing AI-driven tools to enhance regulatory monitoring and fraud detection Strengthening governance frameworks to proactively address emerging compliance risks

14:10

Unlocking the Potential of Predictive Analytics in Credit Risk Management

Harnessing machine learning algorithms to predict and manage credit risk with unprecedented precision Using predictive models to enhance loan underwriting and reduce default rates Exploring the role of behavioral data in forecasting creditworthiness and future risks Integrating AI-driven insights with traditional models to create a more comprehensive risk strategy

15:30

The Evolution of Credit Risk Models in an Unpredictable World

Modeling credit risk before the foundations of model risk management were established Can extensive regulatory guidance for credit risk models be simplified by adopting more generalized principles for measuring and managing model risk levels? Can unpredictability be mitigated by incorporating a certain level of conservatism? How can we maintain predictability and transparency with advanced modeling approaches?

16:10

Redefining Credit Risk in the Age of Digital Transformation

Embracing digital-first risk models to assess creditworthiness in a virtual economy Integrating real-time data and automation to accelerate decision-making and risk mitigation Leveraging AI to redefine traditional risk parameters and enhance credit assessments Adapting to new consumer behaviors and digital lending trends reshaping credit risk landscapes

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

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

11:40

“Is the ‘ Demographic Dividend’ Over? Exploring Population Trends and their Conseque

Introduce participants to the latest UN-issued demographic forecast through 2100, focusing on regional and country-specific trends. Examine the social, geopolitical, and economic impacts of demographic shifts. Invite views from the audience on near-term impacts and potential policy responses. Discuss methods to understand unfolding changes, including historical examples and expert opinions.

13:30

Implementing Conduct into Credit and Operational Risk Management

Implementing Conduct into Credit and Operational Risk Management

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

Content Example: “capturing geopolitical risk in an asset allocation context”

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

9:00

Strengthening Crisis Management and Business Continuity Planning in Banking

Developing robust crisis management frameworks to respond swiftly to operational disruptions Creating comprehensive business continuity plans that ensure minimal downtime and service continuity Implementing regular testing and simulations to assess the effectiveness of crisis response strategies Establishing communication protocols and leadership structures to guide decision-making during crises

9:40

Leveraging Blockchain, AI, and Machine Learning to Detect Unusual Activities and Enhance Cybersecurity

Utilizing blockchain technology to ensure data integrity and secure transactions in the face of evolving cyber threats Implementing AI-driven solutions to detect anomalies and potential security breaches in real time Leveraging machine learning algorithms to continuously improve threat detection and response capabilities Integrating these technologies into a comprehensive cybersecurity strategy to strengthen defenses and minimize risks

11:00

The Role of Data Analytics in Operational Risk Management and Employee Training

Utilizing data analytics to identify and assess operational risks, enabling proactive risk management Leveraging predictive analytics to anticipate potential risks and improve decision-making in real time Integrating data-driven insights into employee training programs to enhance awareness and risk mitigation strategies Using analytics to track training effectiveness and continually refine risk management approaches across the organization

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

13:30

ESG risks management and scenario analysis – EBA guidelines

Expectations on how banks should identify, measure, monitor and manage ESG risks Plans to address ESG risks in the short-, medium- and longterm ESG scenario analysis – feedback from public consultations

Want to get your ticket now?

**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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Our Sponsors

Join us as a Sponsor for theWorld Banking Risk Management Summit, 26-27-28 November 2025, in Park Plaza Hotel Amsterdam. Showcase your brand to global leaders in digital banking, fintech innovators, and industry decision-makers at this premier event, where the future of digital finance takes center stage. Gain unparalleled exposure, connect with key stakeholders, and drive your business forward in an environment dedicated to transformative risk management solutions. Secure your sponsorship today to position your brand at the forefront of risk management excellence.

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