The International Conference on Data Science in Finance

Demystifying the buzz around Artificial Intelligence in Finance

Our 2023 special: The ESG Data Analytics Forum

Thursday, November 9th, 2023

ICDSF Conference

The ICDSF (International Conference of Data Science in Finance) is the annual conference hosted by the Academy of Data Science in Finance in cooperation with WU Vienna and our industry partners. The conference aims to bring academics and finance professionals together to discuss all applications of contemporary Data Science approaches to the area of Finance. These topics include Machine Learning, Deep Learning, Artificial Intelligence, Sentiment Analysis and Prescriptive Analytics.

Click here to find out more about our exciting first ICDSF in 2018 as well as the second ICDSF in 2019! Due to the Covid-19 pandemics there was no conference held in 2020 as well as in 2021. We successfully concluded our series in 2022 - read all about it here!

Our 2023 special: In 2023 our conference teams up with Raiffeisen Bank International to organize the ESG Data Analytics Forum!

Mission Statement

This conference has been created to demystify the buzz around Artificial Intelligence (AI) and to focus on reality instead of hype. The collaboration of academic practicioners and practical academics will show how everyone in the Finance Industry can benefit from the unprecedented progress in Data Science technologies.

Starting in 2022 we focus on Sustainability as well as ESG in Finance especially in regard to Data Science and Artificial Intelligence to counter the qualitative and pseudo-quantitative greenwashing currently observable in the Finance industry.

ESG Data Analytics Forum 2023

Conference Details in 2023

The Event. Together with academic representatives from WU Vienna, Raiffeisen Research (part of RBI - Raiffeisen Bank International) has organized the ESG Data Analytics Forum annually since 2021. The forum primarily serves as a knowledge exchange platform between industry representatives from finance and academia in the field of ESG and Sustainable Finance with a focus on quantitative/analytical models. Usually there are two sessions - one on Banking (incl. Bonds) and one on Investing (Equities, Multi-asset).

Organizers. The event is organized jointly by the Academy of Data Science in Finance ( - a non-profit initiative run by (former) academic experts of WU Vienna - and Raiffeisen Research ( - a leading research boutique focused on CEE, Austria and the euro area offering local market expertise plus contact to well-established experts on the ground in the region with a growing ESG-Focus.

Audience. The audience of the event will be mixed, from academics to professionals from banking and finance, from start-ups to large universal banks. The event type is hybrid, i.e, we aim for a large on-site presence of up to 200 participants but since one of the main sponsors is also RBI itself, the event will also be available as a live stream in the whole RBI Group, i.e., also within our Network Banks, Verbundunternehmen and Raiffeisen Sektor Austria.
In 2022, around 250 people watched the stream online. In 2023 we potentially open access to the stream to institutional clients of Raiffeisen Research.


Platinum Sponsors

Raiffeisen Bank International

Gold Sponsors


London Stock Exchange Group

Silver Sponsors

Quintik Technologies

Conference Program

We are currently preparing the final program. Please find the list of confirmed speakers below. Further content will be added eventually.

Talks are scheduled from 9am to 6pm. Dinner (tickets separately available, limited capacity) starts at 7pm.

9:15-9:45Welcome Session
9:15-9:30Welcome to the 3rd ESG Data Analytics ForumNina Neubauer-Kukic, Stefan Theußl, RBI
9:30-9:45Welcome by Raiffeisen ResearchGunter Deuber, RBI
Climate and Environmental Business Strategy – OurMain PillarsMarkus Ecker, Head of Sustainable Finance, RBI
9:45-11:00Session 1Climate Stress Testing - Chair: Stefan Theussl, RBI
9:45-10:20Talk 1.1Keynote Address: Transition Risk: Lessons from Net Zero Investing & Climate Stress TestingThierry Roncalli, Head of Quant Portfolio Strategy, Amundi Institute
10:20-10:40Talk 1.2ECB top down climate stress test: stress testing the transition towards a net-zero economyTina Emambakhsh, Financial Stability Analyst, European Central Bank
10:40-11:00Talk 1.3Climate Stress Testing at RBISara Lambing, Head of Integrated Risk Management, RBI & Ilaria Capelli, Quantitative Analyst, Raiffeisen Research & Axel Wogrolly, Quantitative Risk Analyst, Risk Methods and Analytics, RBI
11:00-11:30Coffee Break
11:30-13:00Session 2ESG Data Strategy/Regulatory Reporting - Chair: Ronald Hochreiter, WU Vienna
11:30-12:00Talk 2.1Empirical Topics in Data Processing for Physical Risk AssessmentStephanus Kogler, Deloitte
12:00-12:30Talk 2.2ESG DatahubNastassja Cernko, Lea Gratt, Oesterreichische Kontrollbank
12:30-13:00Talk 2.3ESG CockpitJoerg Bayer, Maximilian Fellhuber, Raiffeisen Research
13:00-14:30Lunch Break
14:30-16:00Session 3ESG Sentiment and AI - Chair: Vedad Sehanovic, RBI
14:30-14:40Talk 3.1Welcome by the Academy of Data Science in FinanceRonald Hochreiter, WU Vienna
14:40-15:20Talk 3.2Keynote Address: Conditions for a transformative feedback effect of ESG monitoringKris Boudt, CEO Sentometrics & Ghent University
15:20-15:40Talk 3.3ESG in the Age of Generative AI: Identifying ESG Controversies with Machine Learning and Large Language ModelsSylvaine Forte, CEO SESAMm; Dr. Charles Dietz, Group Advanced Analytics, RBI
15:40-16:00Talk 3.4The impacts of ESG controversiesAnthony Luciani, Quantitative Researcher, LSEG
16:00-16:30Coffee Break
16:30-18:30Session 4Enablers for ESG Strategy Implementation - Chair: Christian Ochs, Fincredible
16:30-17:00Talk 4.1Disagreement and its impact on ESG factorsLukas Obersteiner, Security KAG
17:00-17:15Talk 4.2ESG reporting and LCA: How to use life cycle data to measure and improve your ESG performanceJohanna Mayer, Element-8; Lisa Ehm, unfold consulting
17:15-17:30Talk 4.3Efficient ESG Reporting Using LLMsAngelika Schmid, Accenture
17:30-17:45Talk 4.4A holistic approach to the construction of sound ESG investment portfoliosRonald Hochreiter, Quintik Technologies
17:45-18:00Talk 4.5Sustainable finance data analytics for private markets: setting global standards from EuropeHamish Stewart, Sustainable Finance Advisor, CardoAI
18:00-18:15Closing Session - Ronald Hochreiter and Stefan Theussl
19:00-23:00Conference Dinner

Conference Code of Conduct

ICDSF 2023 is dedicated to providing a harassment-free conference experience for everyone regardless of gender, sexual orientation, disability or any feature that distinguishes human beings. For more information, please see the R Foundation Code of Conduct which we adhere to.


Fees (Early Bird)

Until October 15th Early Bird discount tickets are available (limited capacity!). The conference ticket rate will be raised by 25% to EUR 250 on October 15th. If tickets are still available at the day of the workshop, on-site tickets available for EUR 300.

A small amount of heavily subsidized student tickets are available. If you are interested in obtaining one, please send your motivation letter to <office AT>

Register / Buy Conference Ticket (Early Bird Rate, EUR 200)
Register / Buy Dinner Ticket (EUR 80)
The conference fee includes:

Conference Attendance
Finger-Food Lunch
All Coffee-Breaks
One year full membership at the Academy of Data Science in Finance

To register please use the Register! links above to pay with a Credit Card or EPS. Alternatively please wire transfer your registration fee to our Austrian bank account:

Account HolderAcademy of Data Science in Finance
IBANAT73 1420 0200 1097 6309

Special group discounts are available! Ask us!

Organizing Committee

Ronald Hochreiter

Ronald Hochreiter


Stefan Theußl

Program Committee

Bettina Gruen

Bettina Grün

Nina Neubauer-Kukic

Nina Neubauer-Kukic


Alexander Eisl


Christian Ochs


Conference Venue: Raiffeisensaal of the Raiffeisen Bank International (RBI) Head Office, Am Stadtpark 9, Vienna.

Contact us

Academy of Data Science in Finance
Scheimpfluggasse 1/15
1190 Wien, Österreich