How Financial Institutions Can Improve Financial Fraud Detection

Intermediate
Online
54:38
Description
The first step to stopping financial fraud is identifying it with precision. To accomplish this, having effective fraud models and rules in place is critical to your financial institution’s defense against fraudsters.
In this webinar, you will explore cutting-edge techniques that fraud analytics and strategy and policy teams can implement to enhance your program’s real-time fraud prevention. You will unpack best practices for building and refining effective fraud detection models, common pitfalls to avoid and governance practices to streamline model development and bring your fraud detection to the next level.
Prerequisites
Fundamental understanding of fraud detection. This session is intended to give practitioners tactical tips they can leverage today to stop more financial fraud tomorrow. Attendees should be familiar with fraud models, rules, and AI, or actively engaged with relevant teams.
You Will Learn How To:
Align analytics and governance teams to ensure model explainability and compliance with regulatory requirements.
Analyze your existing fraud prevention model and identify areas of improvement.
Implement the latest best practices for model optimization and overcome common obstacles.
CPE Information
CPE Credit: | 1.0 |
---|---|
NASBA Information: | Accounting |
Advanced Preparation: | None |
Last Updated: | December 2024 |
Presenters
Danny Butvinik - Speaker
Chief Data Scientist
NICE Actimize
Uma Shankar Kulasekaran - Speaker
Director, AI and Analytics Enablement Team, Professional Services
NICE Actimize
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CPE Credit
Please note: To be eligible for CPE credit, you must complete the final exam within one year of purchase date. You may only claim CPE credit for a course once.
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