Transforming Risk Management with Data & AI

This chapter meeting has passed.

Overview

Registrations are closed due to capacity. Please update your registration if you can no longer attend. If you are a GARP Individual Member, recent FRM-certified professional, SCR or RAI Certificate Holder, please email chapters@garp.com to be added to the wait list.

In today’s rapidly evolving landscape, businesses face unprecedented levels of uncertainty and complexity. Leveraging data and artificial intelligence (AI) has become essential for modern risk management, enabling organizations to anticipate, assess, and mitigate risks with greater precision and agility. Join GARP’s Budapest chapter as our members and esteemed guests discuss emerging trends, including predictive analytics, data science, visualisation, risk modeling, and regulatory technology (RegTech). Some of the specific questions to be discussed include:

What data and AI technologies are reshaping risk management across sectors?
How are machine learning and AI transforming risk modeling?
What role does data governance play in mitigating AI-related risks?
How RegTech is transforming the risk management landscape?
What are the practical strategies for implementing data and AI innovations that enhance risk management capabilities?

Registration is required as seats are limited. Priority will be given to GARP Individual Members. This event will be held in English.

Agenda

5:30 – 6:00 pm: Registration

6:00 – 6:15 pm: Welcome remarks

6:15 – 7:15 pm: Presentations

Anna Emese Takács: Quantification and Risk Management in Machine Learning and AI Systems
Marton Sebok: Model Risk Testing
Miklós Vörös: AI Portfolio Insights

7:15 – 7:35 pm: Panel discussion with Audience Q&A

7:35 – 8:30 pm: Networking reception

Attendees qualify for 1 GARP CPD credit.

Details

December 4, 2024
5:30 PM - 8:30 PM

In-Person

Citi Hungary, Promenade Gardens, H-1133 Budapest, Váci út 80,

Chapter Directors

Homolya Daniel
Enterprise Risk Management Managing Director OTP Group

Peter Sziklai
Executive Director Morgan Stanley

Committee Members

Norbert Palmai
Quantitative Research Vice President BlackRock

Csaba Novaky
Vice President Morgan Stanley

Tamas Gombar
Quantitative Analyst Vice President Citi

David Marczis
Senior Risk Manager Magyar Nemzeti Bank (the central bank of Hungary)

Márton Sebők

Marton Sbok is a professional computer engineer with over 20 years of experience, including 13 years in major financial institutions. Over the past 10 years In Citi, he has led teams in developing robust testing platforms for Markets pricing libraries. Currently, Marton focuses on standardizing financial model testing procedures, designing scalable distributed, solutions to keep pace with the evolving landscape of regulation mandated testing regimes.

Anna Emese Takács

Anna Emese Takács is the Head of Data Science at BeHive Consulting, leading the development of AI-driven behavioral data solutions. She holds a Master’s degree in Data Science from Columbia University and specializes in customer segmentation, probabilistic modeling, and the development of digital strategies across various industries, with a primary focus on banking and insurance.

Miklós Vörös

Miklós Vörös is a quantitative finance professional at MSCI's AI Research

team with a keen interest in practical applications of machine learning. Previously he worked as a freelance consultant in the field of AI and large language models. His background in finance involves 11 years modeling the risk characteristics of mortgage-backed securities at MSCI.

Miklós began his career in weather forecasting, eventually heading the Numerical Modeling and Climate Dynamics Division of the Hungarian Meteorological Service. He holds an MSc in physics.

Chapter Meeting

Budapest, Hungary