Conference
Agenda
DAY 1
Wednesday 26th November 2025
08:55
Opening Words from a Chairperson
09:00 : Addressing Key Challenges in Credit Decisioning Through Models and Policies
- Reliance on IRB and non-IRB models to balance
historical data with emerging risks - 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
Spiros Andronikakis
General Manager- Chief Risk Officer
Alpha Bank, Greece
09:40 : 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
Edgars Sedovs
Head of Enterprise Risk & Credit Risk Management
Rietmu Banka, Latvia
10:20
Break Time and Networking Session
11:00
Topic to Be Confirmed
Marili Anderson
Managing Director,Head of Compliance
Rabobank, UK
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
Ratul Ahmed
Head of Model Risk Management & Validation
Commerzbank, Germany
12:20
Lunch Break
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
Christopher Nason
Director, Global Head of Business Intelligence
Unit | Anti-Financial Crime
Deutsche Bank
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
Michiel van Lunsen
Product Owner Credit Risk Model Validation
ING, Netherlands
14:50
Break Time and Networking Session
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?
Darius Grinvaldas
Head of Risk Analytics
Luminor Bank, Lithuania
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
Fernando Blauzwirn
Head of Credit, CH and DIFC
HBZ Bank Zurich, Switzerland
16:50
Panel Discussion: Transforming Portfolio Credit Risk
Management with Generative AI: Breaking Silos,
Enhancing Insights, and Accelerating Innovation
17:30
Closing words, end of the day 1
DAY 2
Thursday 27th November 2025
08:55
Conference Re-Start
9:00 : Approaches to Effective AI Risk Management
- Defining AI risk protection objectives to ensure safe and
ethical deployment - Exploring strategies for robust AI governance and
accountability - Assessing AI models for fairness, transparency, and
compliance - Integrating AI governance into broader risk management
frameworks
Ulf Holmberg
Senior Analyst
Swedbank, Sweden
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
Aymeric Chauve
Director – UK Head of Credit
Societe Generale, UK
10:20
Break Time and Networking Session
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
Zsolt Jaczko
Head of Retail IRB Modelling | Risk Modelling
Nationwide, UK
11:40: Demographic Dividend’ Over? Exploring Population Trends and their Consequences
- 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.
Carl Densem
Risk Manager Financial Markets
Rabobank, Netherlands
12:20
Lunch Break Operational Risk
13:30 : Implementing Conduct into Credit and Operational Risk Manageme
Marie Leth Christensen
Head of Personal Banking
Denmark Risk Management
Nordea, Denmark
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
Karlis Danevics
CRO
SEB, Latvia
14:50
Break Time and Networking Session
15:30: Enhancing Fraud Prevention and Detection Strategies in Banking
- Exploring cutting-edge fraud detection technologies, such as
AI and machine learning, to identify suspicious activities - Implementing real-time monitoring systems to detect and
prevent fraud before it impacts operations - Developing a multi-layered approach to fraud prevention,
combining data analytics, employee training, and customer
awareness - Strengthening internal controls and creating a fraud response
plan to minimize operational losses and protect customer trust
Dirk Effenberger
Head of Investment Risk
UBS, Switzerland
16:10
Panel Discussion: Understanding Consumer Behavior
in Debt Risk Management: Trends and Insights for
2026
17:00
Closing words, end of the day 2
DAY 3
Friday 28th November 2025
8:55
Opening Words from a Chairperson
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
Jack Smart
Operational Resilience Scenario Planner
Lloyd’s Banking Group, UK
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
Steve Portway
Managing Director Operational Risk
Barclays
10:20
Break Time and Networking Session
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
Márton Nagy
Vice President – Operational Risk
Citi, Hungary
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
Stefan Zima
Head Group Regulatory Compliance Officer
Raiffeisen Bank , Austria
12:20
Lunch Break
13:30 : Techniques for Mitigating Internal Errors, Fraud, and Non-Compliance in Banking
- Establishing robust internal controls and auditing processes
to detect and prevent operational errors and fraud - Implementing employee training programs to raise awareness
and reduce the risk of non-compliance - Leveraging automation and data analytics to enhance accuracy
and minimize human error in critical operations - Developing a culture of accountability and transparency to ensure
adherence to compliance standards and internal policies
Grzegorz Dlugajczyk
Director | Operational Risk & Cyber
Security Control
UBS, Poland
14:10 : Rethinking Digital Transformation: The Essential Role of Cybersecurity in Banking
- Understanding the growing cybersecurity risks amid rapid
digital transformation in banking - Key strategies for integrating robust cybersecurity measures
into digital transformation initiatives - Best practices for protecting sensitive customer data and
maintaining trust in an increasingly digital banking landscape - Anticipating future cybersecurity challenges and preparing
for evolving threats in 2026 and beyond
14:50
Panel Discussion: Strengthening
Operational Resilience in Banking – Navigating
Workforce Challenges, Technological Disruptions,
and Risk Management in 2026
15:40
Closing words, end of the conference
Contact us
Sponsorship
Leo Collin, T: +420 775 367 435, E: leo.collin@pulsecore-events.com
Content
Anna Marenko, T: +420 775 367 435, E: anna.marenko@pulsecore-events.com
PulseCore Events
- www.pulsecore-events.com