FinTech CTO: Eradicating Fraud with Next-Gen Detection Strategies
ByVamsi Kiran Chemitiganti
(0 Reviews)
- 2 Hours
- 15 Lessons
- 0 Students
- Skill Level: All
- English
Overview
This session delves deep into financial fraud, covering its various forms, detection methods, and latest technologies for building robust prevention systems. Part 1 introduces financial fraud types and the interconnectedness of AML, fraud, and cybercrime prevention efforts, along with legacy fraud detection platform limitations and workflows. Part 2 emphasizes data management’s crucial role in fraud detection, featuring case studies, data analytics techniques, and network analytics. Part 3 explores advanced detection techniques, geolocation data usage, and architectural considerations for modern fraud detection platforms. Attendees will gain essential knowledge and tools for combating financial fraud, crucial for CTOs, security professionals, and financial institution stakeholders.
Requirements
You need no more than a desire to learn and take action by purchasing a course right away! That’s all it takes to excel with us.
What You’ll Learn From This Course
Welcome and Course IntroductionBegin the session with introductions, a course overview, and a roadmap for the module on Financial Fraud.
Financial Fraud: Overview and TypesIntroduce the concept of financial fraud and the different types of fraud schemes that target banks and their customers.
Efforts in AML, Fraud, and Cybercrime PlatformsHighlight the interconnectedness of AML (Anti-Money Laundering), fraud, and cybercrime prevention efforts.
Exploring Legacy Fraud Detection PlatformsDiscuss the limitations of traditional fraud detection systems.
Fraud Detection Case StudyExplore a real-world case study to illustrate how data analysis helped identify and prevent fraud.
Data Analytics in Fraud DetectionDiscuss the application of data analytics techniques for fraud detection.
Network Analytics in Fraud DetectionIntroduce the concept of network analytics and its role in uncovering fraudulent activity.
Key Strategies for Fraud PreventionDiscuss key strategies that banks can adopt to prevent fraud proactively.
Advanced Detection Techniques
Exploring Detailed Fraud Detection Use CasesAnalyze various use cases where advanced fraud detection techniques can be applied.
Geolocation Data for Risk AssessmentExplore how geolocation data can be leveraged for fraud risk assessment.
Fraud Detection Platform Reference ArchitectureDiscuss the architectural considerations for building modern fraud detection platforms.
Curriculum
1 module · 15 lessons · 1h 57.12999999999998m of video
Introduction, Course Overview, and Module Content15 Lessons · 117.12999999999998 min
- Financial Fraud: Overview and Types9.02 min
- Exploring Trends in Financial Fraud8.07 min
- Efforts in AML, Fraud, and Cybercrime Platforms4.18 min
- Exploring Legacy Fraud Detection Platforms8.78 min
- Legacy Fraud Detection Workflow7.92 min
- Data Management in Fraud Detection13.45 min
- Fraud Detection Case Study9.3 min
- Data Analytics in Fraud Detection6.9 min
- Network Analytics in Fraud Detection5.67 min
- Key Strategies for Fraud Prevention3.28 min
- Exploring Detailed Fraud Detection Use Cases9.85 min
- Geolocation Data for Risk Assessment4.1 min
- Fraud Detection Platform Reference Architecture6.88 min
- Bank Fraud Detection Platform Architecture12.13 min
This course is one module of The FinTech CTO Program
Get all 22 modules, 173 lessons and a certificate for $399.00 (was $499.00).
Instructor
Vamsi Kiran ChemitigantiInstructor
Vamsi works as an Industry GM at a hyperscaler and has two plus decades of experience on Financial Services, Telco, Edge Computing, Retail and other industry verticals.
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