FinTech CTO: Eradicating Fraud with Next-Gen Detection Strategies

About the Course

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.

Meet Your Instructor

Vamsi is a seasoned technology expert and industry specialist, leading global teams across key sectors like telecommunications, finance, insurance, and healthcare. With extensive experience in managing high-performance teams and implementing cutting-edge solutions for Global Fortune 1000 clients, Vamsi excels in driving digital transformation. His technical expertise spans Containers, Big Data, AI, Cloud Services, and High Performance Computing. An MBA in corporate strategy and a Bachelor’s in Computer Science he actively shares his knowledge through blogs on bridging the gap between technology and industry.

Vamsi Kiran Chemitiganti

Industry Technology Leader at Amazon Web Services

Course curriculum

    1. Introduction, Course Overview, and Module Content

      FREE PREVIEW
    2. Financial Fraud: Overview and Types

    3. Efforts in AML, Fraud, and Cybercrime Platforms

    4. Exploring Legacy Fraud Detection Platforms

    5. Legacy Fraud Detection Workflow

    6. Data Management in Fraud Detection

    7. Fraud Detection Case Study

    8. Data Analytics in Fraud Detection

    9. Network Analytics in Fraud Detection

    10. Key Strategies for Fraud Prevention

    11. Exploring Detailed Fraud Detection Use Cases

    12. Geolocation Data for Risk Assessment

    13. Fraud Detection Platform Reference Architecture

    14. Bank Fraud Detection Platform Architecture

About this course

  • $30.00
  • 14 lessons
  • 2 hours of video content