Fraud Risk Analytics (Excel & AI based tools) and Prevention
What you'll learn
- What is fraud
- How to detect fraud
- How to prevent fraud
- What is fraud triangle
- What is Benford Law
- How to use excel to detect fraud
- How AI is helping in detecting fraud
- How to assess an organization for its maturity on fraud prevention
- How to find anomalies in a dataset
- How to programmatically detect fraud
- How to apply unsupervised learning to detect fraud
- How to apply supervised learning to detect fraud
- How to use box plots to identify fraud
- What is image analytics and how it is used to detect fraud
- What is correlation and how it is useful in fraud risk management
- How to use PowerBI in finding anomalies for fraud detection
- What is AutoML and how it can be used in fraud detection
Requirements
- None
- Please note that this is a 6 hour course with assignments and Not a YouTube video.
Description
Fraud is everywhere! History is replete with many high profiles examples like Satyam, Enron and Lehman Brothers that caused billions of dollars of fraud. However, fraud can adversely affect the bottom line of any organization and hence it becomes important to detect and prevent fraud. Though fraud in banking and online transactions generate lot of visibility, fraud occurs in every industry and every process area.
Whatever be your industry or process, focus should always be on prevention since recovering costs from perpetrators of fraud is always a challenging affair.
This program focuses on both these aspects of fraud – detection and prevention and brings in both operations and technology perspectives.
The following are covered in the program:
What is fraud – Characteristics and different types of fraud
How to detect fraud and how to prevent fraud.
Benford law
Box plots to identify outliers
Detect fraud programmatically
Understand the drivers of fraud through Explainer AI (XAI)
Detect fraud through AutoML (No Code Machine Learning using PowerBI)
Best practices in fraud management
In fraud detection, the program covers tools and techniques that can be deployed both using excel and AI. A walk through of applying the techniques in excel has been provided for better understanding.
A cool framework to assess the maturity of the organization for fraud management is also provided.
This program is facilitated by an industry veteran who has managed fraud detection and prevention in his career. He brings his vast experiences and perspectives into this program.
Who this course is for:
- Auditors
- Risk consultants
- Machine learning enthusiasts
- Students
- Managers and Senior Management involved in fraud risk management
- Fraud Investigators
Instructor
Profile of Trainer Govind Kumar
Summary
Over 2 decades of experience managing Technology, Operations and Quality in top MNCs & startups. Held leadership roles (including Founder & CEO of an AI & Automation Startup) and managed businesses across Asia Pacific & Japan region.
Expertise AI, Six Sigma and Innovation
Key Experiences
Successfully incubated Centers of Excellence for fraud prevention and service analytics.
Significant experience in design thinking based product development and management. Played a critical role in developing products for emerging markets.
Education & Certification
B. Tech and Full time MBA from top institutes in India
Certifications in six sigma and project management.
Accolades
Won global awards in the areas of Customer Experience, Leadership Excellence, Quality and Technology.
Featured in the cover of CIO Review Magazine.
Board of Studies Member of the Board of Studies at Loyola College, Chennai, India (a 96 year old institution)