New York Chapter of the Association of Certified Fraud Examiners

The NYCFE is pleased to welcome Stavros Zervoudakis, Assistant Professor at New York University, as he presents:

Using EDA and AI Techniques for Fraud Detection

Deploying and scaling Artificial Intelligence (AI) tools to combat fraud, comply with regulatory requirements and reduce risk is increasingly vital for financial institutions. In this webinar, Stavros will demonstrate AI techniques, along with Exploratory Data Analysis (EDA) and Machine Learning (ML). EDA offers an approach to discovering patterns and gaining insights while excluding and eliminating unacceptable biases. ML provides powerful techniques to swiftly respond to ever changing tactics of fraudsters. Developing, training and operating the ML models properly will be an added focus. 

Attendees will develop an understanding of:

• AI, its practical uses in the financial industry, and key issues in the regulatory agency approval process;
• Using open-source (free) tools to perform Exploratory Data Analysis (EDA), gain insights and build visualizations;
• Dealing with the special characteristics of financial transaction datasets, while completing the process of building machine learning models that can prove to be important tools in predicting the probability of fraudulent cases at scale.

Attendees will be entitled to 2 CPE credits!

REGISTRATION CLOSES MARCH 30TH at 2:00 PM EST!

NYCFE Members: $30.00

Non-NYCFE Members: $50.00

5:45 PM - Webinar will open for pre-registrants to sign-in

Please note:  Once you register through our chapter, you will be emailed instructions, and be required to register through the Webinar provider. 

 Presentation - 6:00PM - 8:00 PM

We continue our 2021 NYCFE raffle.  NYCFE Chapter Members who attend five or more NYCFE chapter events will qualify to be entered to win a FREE ACFE Conference registration ticket of their choice.  If you are interested in becoming a member, click here

Stavros Zervoudakis’s Bio

Stavros Zervoudakis, Assistant Professor at New York University, designs and delivers courses to develop the next generation of Data Scientists and Machine Learning Engineers. Currently, he is also building the AI capability for a Financial Services corporation from the ground up. Previously, Stavros led initiatives at 3 startups with a focus on Natural Language Processing, Blockchain and Machine Learning. Prior to joining NYU, he was Head of several transformation programs at Citigroup focused on Anti-Money Laundering and Fraud Detection, where he led the development and oversight of process re-engineering. Stavros’ efforts had a direct impact on the daily activities of more than 4,000 analysts globally, resulting in more than a 25% increase in productivity.

 (NYCFE is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors.)