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AI in Finance: From Risk Management to Investment Decisions

webinar edited (1)
Online Webinar

AI in Finance: From Risk Management to Investment Decisions

The University of Limassol (UoL) invites students, professionals and anyone interested in the future of finance and technology to attend the upcoming online webinar:

Date Tuesday, 02 June 2026
Time 19:00
Format Online Webinar

Webinar Description

The webinar will explore how Artificial Intelligence is transforming the financial sector, from quantitative analysis and risk management to investment strategies and financial decision-making. Participants will gain valuable insights into the evolving role of AI technologies within modern financial ecosystems and the growing importance of FinTech innovation.

The discussion will feature academics and industry experts with extensive experience in Digital Finance, FinTech and Quantitative Finance.

Speakers

Dr Andrey Afanasiev, PhD, FRM, PRM
Chair of the Department of Economics & Finance and Director of the MSc in Digital Finance, University of Limassol
Dr Ekaterina Koroleva
Associate Professor of FinTech and Co-Director of the MSc in Digital Finance, University of Limassol

Guest Speaker

Sebastian Niehaus
Founder & CEO, Needlestack Technologies Ltd, Quantitative Finance & AI

About the Webinar

The webinar is organized in the context of the MSc in Digital Finance of the University of Limassol and forms part of the University’s broader efforts to promote discussions around emerging technologies, digital transformation and the future of financial services.

Interested participants are encouraged to register and attend the webinar online.

Certificate of attendance will be provided by UoL.

Webinar Links

  1. Link to Microsoft Form Webinar: AI in Finance: From Risk Management to Investment Decisions – Fill in form
  2. Link to Microsoft Teams Webinar: AI in Finance: From Risk Management to Investment Decisions | Meeting-Join | Microsoft Teams
Register Here ⟶ Join Webinar ⟶

For more information about the MSc in Digital Finance

MSc in Digital Finance ⟶

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Informed Consent Form

Dear Participant,

You are invited to participate in a survey as part of the DiFiCy – Digital Transformation and FinTech: Shaping Cyprus’s Economy research project which is implemented by the University of Limassol, PwC Cyprus and Unity Growth Limited.

The project is co-funded by the European Union within the framework of the Cohesion Policy Programme “THALIA 2021-2027” through the Research and Innovation Foundation (RIF) in Cyprus [Pr. number: EXCELLENCE/0524/0568].

The study has been approved by the National Bioethics Committee of Cyprus (Approval no.: EEBK EΠ 2025.01.19 )

This project explores digital transformation and FinTech adoption in Cyprus, with a particular focus on SMEs and the broader business ecosystem. It uses a mixed-methods research design, combining survey data with interviews and case study evidence to generate evidence-based insights for policymakers and businesses.

Before deciding whether to participate, please read the following information carefully.

Purpose of Participation

The purpose of this research is to better understand the drivers, challenges, and impacts of digital transformation and FinTech adoption in Cyprus. The findings aim to support evidence-based policymaking, strengthen business practices, and contribute to innovation and economic development.

Your participation involves the following:

Completion of this survey, which takes approximately 15 minutes.

Invitation to take part in an optional interview.

Contribution to a case study or discussion session at a later stage.

Your participation is entirely voluntary, and you are free to decline or withdraw at any time without any consequences.

If you wish to withdraw from the study after submitting your responses, you may do so by contacting the Project Coordinator.

Data Confidentiality and Usage

All data collected will be handled in strict accordance with the General Data Protection Regulation (GDPR) and Cyprus Data Protection Law (125(I)/2018).

Your data will be treated confidentially, pseudonymised and anonymised, and no personally identifiable information will be disclosed. Data will be securely stored and accessed only by authorised members of the research team. In some cases, qualitative data may be processed using machine learning techniques, such as keyword identification or pattern detection, strictly to support analysis; however, all interpretation and conclusions will be made by the researchers.

Aggregated and anonymised findings derived from the data (e.g., statistical summaries, graphs, and thematic insights) may be used for dissemination activities, including scientific publications, policy reports, infographics, and training materials. These outputs will not contain any information that could directly or indirectly identify participants or their organisations.

Anonymised data may be shared publicly after a 24-month embargo period, while raw or sensitive data will not be publicly available. Access to raw or sensitive data will be granted only upon justified request and consortium approval.

Your participation in this study does not involve any risks.

On the contrary, your contribution may help improve digital and FinTech policies, support SME development and innovation strategies, and enhance the overall business environment in Cyprus.

Contact Information

If you have any questions, concerns, withdraw requests or complaints, please contact the Project Coordinator, Dr. Snezana Eminidou. Please include “DiFiCy Survey” in the subject line.

Email: snezana@uol.ac.cy

Phone number: +357 22462228

Partnership:

Thank you for your valuable contribution to this research.

The project is co-funded by the EU within the framework of the Cohesion Policy Programme “THALIA 2021-2027” through the Research and Innovation Foundation. [Pr. no. EXCELLENCE/0524/0568]. The content reflects the views of the author(s) only. The European Commission and the Managing Authority of THALIA 2021–2027 cannot be held responsible for any use which may be made of the information contained therein.