Certificate in Fraud Monitoring

How It Works

  1. 1. Select Certification & Register
  2. 2. Receive Online e-Learning Access (LMS)
  3. 3. Take exam online anywhere, anytime
  4. 4. Get certified & Increase Employability

Test Details

  • Duration: 60 minutes
  • No. of questions: 50
  • Maximum marks: 50, Passing marks: 25 (50%).
  • There is NO negative marking in this module.
  • Online exam.

Benefits of Certification

  • Government certification
  • Certification valid for life
  • Lifelong e-learning access
  • Learning Hours: 22+ hrs
  • Life Time Job Support
  • Updated June 2026
$49.00 /-
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Fraud monitoring is a continuous fraud prevention strategy used to detect fraudulent activity, assess risk, and stop fraud attacks before they cause lasting damage - a function increasingly critical for banks, financial institutions, and any organization handling sensitive customer transactions. A single fraud incident can result in direct monetary loss, lasting brand damage, eroded customer trust, and serious regulatory and legal consequences, making skilled fraud monitoring professionals a genuine organizational priority rather than a discretionary hire.

The Vskills Certified Fraud Monitoring Professional course is a Govt. Certified program that takes a hands-on approach to fraud monitoring — covering fraud fundamentals alongside the practical tools and techniques used to detect, investigate, and manage fraud monitoring systems in a live business environment. As digital transactions and compliance requirements continue to grow, demand for genuinely skilled fraud monitoring professionals has grown alongside them, making this a increasingly valuable specialization for finance, risk, and compliance professionals.

Note: The course comes with online learning, no hard copy book.

Why Choose Vskills Fraud Monitoring Certification

The Vskills Certified Fraud Monitoring Professional course stands out for its hands-on, practical focus — not just fraud theory, but the actual tools, techniques, and monitoring approaches organizations use to detect and stop fraud in real time.

  • Govt. Certified credential — This is a Govt. Certified course, adding recognized credibility to your fraud risk and compliance profile.
  • Hands-on, tools-focused approach — Covers practical fraud detection techniques including rule-based detection, machine learning models, behavioral analytics, predictive analytics, and cross-channel monitoring, not just conceptual definitions.
  • Real-time and technology-driven fraud detection — Includes real-time transaction monitoring systems and the role of data analytics and AI/ML in identifying fraud patterns as they emerge.
  • High-demand, growing specialization — Digital transactions and stricter compliance requirements have significantly increased demand for skilled fraud monitoring professionals across finance, banking, and technology-driven businesses.
  • Directly applicable to real fraud monitoring systems — Builds the practical understanding needed to help develop, operate, or manage an organization's fraud monitoring function, not just pass a knowledge test.
  • Flexible, self-paced e-learning — Study at your own pace with access to structured course material.
  • Lifetime validity of certification — No renewal required once certified.

Who Should Enroll

This course is designed for professionals and students who want to build or strengthen their expertise in fraud detection, risk monitoring, and financial crime prevention.

  • Fraud Analysts and Fraud Monitoring Executives — looking to formalize and deepen their practical fraud detection and monitoring expertise.
  • Risk and Compliance Professionals — working in banking, financial services, or fintech, seeking structured knowledge of fraud monitoring tools and techniques.
  • AML/KYC and Financial Crime Professionals — wanting to build complementary fraud monitoring expertise alongside their existing compliance knowledge.
  • Internal Auditors — looking to strengthen their understanding of fraud red flags, detection techniques, and monitoring system design.
  • IT and Data Analytics Professionals — working on or transitioning into fraud detection systems, transaction monitoring platforms, or fraud analytics roles.
  • Banking and Financial Services Employees — seeking to build fraud monitoring skills relevant to customer protection and regulatory compliance.
  • Students and Early-Career Professionals — seeking a credential that validates job-ready knowledge for entry into fraud monitoring, risk, or compliance roles.
  • Existing Employees Seeking Career Growth — looking to formally validate their fraud monitoring knowledge to strengthen their case for a senior risk or compliance role.

What You Will Learn

The course takes learners through the complete fraud monitoring discipline — from fraud fundamentals and typologies through regulatory compliance, detection techniques, hands-on monitoring tools, investigation practice, and emerging fraud risks in AI and digital payments.

  • Fraud fundamentals — the Fraud Triangle and Fraud Diamond, occupational fraud, fraudster profiles, and common behavioral red flags
  • Fraud schemes and typologies, including billing, payroll, and vendor fraud, identity theft, account takeover, and insider/employee fraud
  • Digital and payments fraud — card fraud, UPI and real-time payments fraud, e-commerce/chargeback fraud, business email compromise, and deepfake and GenAI-enabled fraud
  • Behavioral, transactional, and documentary red flags used to identify fraud opportunities early
  • Regulatory framework and compliance — AML fundamentals, KYC/CDD/EDD, India's RBI guidelines, PMLA and FIU-IND reporting, SAR/STR filing, FATF standards, and Forensic Accounting and Investigation Standards (FAIS)
  • Fraud risk management — risk identification, assessment, measurement, and handling methods
  • Fraud detection techniques, including anomaly detection, Benford's Law, Z-score and correlation analysis, and network/link analysis for fraud rings and mule accounts
  • Fraud monitoring operations — rule-based monitoring, alert triage and escalation, false positive reduction, case management systems, and monitoring KPIs
  • Hands-on fraud analytics using MS-Excel, SQL, and Tableau — building fraud dashboards and writing queries to detect duplicate, structured, or outlier transactions
  • The end-to-end fraud investigation process, evidence collection, interviewing techniques, digital forensics basics, and investigation report writing
  • Internal controls and the COSO framework, plus professional ethics and data privacy considerations in fraud monitoring
  • New-age fraud technology — AI/ML in fraud prevention, blockchain and cryptocurrency forensics, and biometric authentication
  • Emerging fraud trends and real-world case studies across banking, insurance, healthcare, retail, fintech, and cross-border trade

Career Outcomes

Completing the Vskills Certified Fraud Monitoring Professional course opens up roles across banking, fintech, insurance, and e-commerce, with a clear progression path from fraud analyst roles through to senior fraud risk and investigation leadership.

Job Role Industry Avg. Salary (India) Experience Level
Fraud Analyst Banking, Fintech, E-commerce ₹4 – ₹7 LPA Fresher – 2 years
Fraud Monitoring / Transaction Monitoring Analyst Banking, Payments, BFSI ₹6 – ₹10 LPA 2 – 4 years
Fraud Investigator Banking, Insurance, Consulting ₹7 – ₹12 LPA 3 – 5 years
Fraud Risk Analyst / Consultant Consulting, BFSI, Fintech ₹9 – ₹15 LPA 4 – 7 years
Fraud Risk Manager Banking, Fintech, Insurance ₹14 – ₹22 LPA 8 – 12 years
Head of Fraud Risk / Chief Fraud Officer Banking, MNC, Large Fintech ₹28 – ₹42+ LPA 14+ years

Companies That Hire Certified Professional

Banks, fintech and payments companies, insurance firms, e-commerce platforms, and consulting firms with forensic and risk advisory practices actively hire fraud monitoring professionals to detect, investigate, and prevent fraud across banking, digital payments, insurance claims, and e-commerce transactions. Organizations such as HDFC Bank, ICICI Bank, Axis Bank, Paytm, PhonePe, Razorpay, Amazon, Flipkart, Deloitte, EY, KPMG, and PwC, along with insurance companies and Global Capability Centres (GCCs) of international banks, regularly hire for roles spanning fraud analysis, transaction monitoring, fraud investigation, and fraud risk management.

Fraud Monitoring Table of Contents

https://www.vskills.in/certification/fraud-monitoring-course-table-of-contents

Fraud Monitoring Practice Questions

https://www.vskills.in/practice/fraud-monitoring-practice-questions

Fraud Monitoring Tutorials

https://www.vskills.in/certification/tutorial/fraud-monitoring-tutorial

Fraud Monitoring Interview Questions

https://www.vskills.in/interview-questions/fraud-monitoring-interview-questions

Vskills Fraud Monitoring Certification – Frequently Asked Questions

Get answers about eligibility, exam pattern, career scope, validity, jobs and enrolment for the Vskills Certificate in Fraud Monitoring.

A fraud monitoring professional reviews transactions, account activity, and behavioral data to spot patterns that may indicate fraud, using detection tools and analytical techniques to screen for suspicious activity. This typically includes triaging system-generated alerts, investigating flagged cases, and refining detection rules to reduce false positives over time.
Strong analytical thinking and attention to detail are essential, alongside practical proficiency in tools like Excel, SQL, and dedicated fraud detection or transaction monitoring platforms. A working understanding of relevant regulations — such as AML and KYC requirements — is equally important, since fraud monitoring sits at the intersection of data analysis and compliance.
Fraud detection generally refers to the techniques and models used to identify a specific fraudulent transaction or pattern, while fraud monitoring is the broader, ongoing operational function — continuously watching activity, managing alerts, and running the systems and workflows that make detection actually work in practice on a day-to-day basis.
A high false-positive rate means genuine customers are frequently, incorrectly flagged as fraudulent, creating a poor customer experience and wasting investigator time on non-issues. Reducing false positives without missing real fraud is one of the most important ongoing challenges in the field, requiring continuous rule tuning and threshold refinement.
Machine learning models are increasingly used to detect complex, evolving fraud patterns that static, rule-based systems often miss, while also helping reduce false positives through better contextual risk assessment. At the same time, fraud professionals now also need to understand AI as a fraud risk itself, given the rise of deepfake and generative-AI-enabled fraud schemes.
It is a Govt. Certified course covering the complete fraud monitoring discipline — fraud typologies, digital and payments fraud, red flags, regulatory compliance (AML, KYC, FATF, India's PMLA and FIU-IND requirements), detection techniques, hands-on fraud analytics using Excel, SQL, and Tableau, investigation practice, internal controls, and emerging fraud risks including AI and blockchain.
There are no strict eligibility criteria. The course is suitable for fraud analysts, risk and compliance professionals, AML/KYC professionals, internal auditors, IT and data analytics professionals, and students or early-career professionals looking to enter fraud risk or compliance roles.
The exam is an online proctored test consisting of 50 multiple-choice questions to be completed in 60 minutes. A minimum of 50% marks is required to pass and earn the certification.
Yes, this is a Govt. Certified course, and the certification carries lifetime validity, meaning there is no need for renewal once you are certified.
If a candidate does not clear the exam on the first attempt, a retake can be availed by registering for the exam retake voucher, priced at approximately ₹799 + GST, at vskills.in/certification/exam-retake. Upon successfully passing, the certificate is issued and made available for download, and can be shared on professional profiles such as LinkedIn or included in resumes to showcase verified fraud monitoring competency.

Trusted Reviews for Vskills Certified Fraud Monitoring Professional

Build expertise in fraud detection, transaction monitoring, and fraud investigation with a govt certified lifetime credential.

4.9
★★★★★

Based on verified learners

★★★★★

I'd been handling basic transaction reviews for a while but never had formal grounding in the detection techniques. The Benford's Law and anomaly detection module was genuinely new to me.

- Ankit Luthra, Fraud Analyst
★★★★★

Good practical coverage with SQL and Tableau, most fraud courses I looked at were all theory. Building an actual fraud dashboard made the concepts stick.

- Meghna Kasturia, Transaction Monitoring Analyst
★★★★

Solid course with all the concepts covered in detail, especially the digital payments fraud and deepfake sections. 

- Rahul Sharma, Risk & Compliance Executive
★★★★★

Took this to move from general internal audit role into fraud-specific role, and the certification covered exactly what I needed.

- Sonal Kapadia, Internal Auditor

TABLE OF CONTENT


Module 1: Foundations of Fraud

  • What is Fraud? What Constitutes Fraud?
  • Categories and Types of Fraud
  • Occupational Fraud and Profile of the Typical Fraudster
  • The Fraud Triangle: Pressure, Opportunity, Rationalization
  • The Fraud Diamond: adding Capability
  • Characteristics and Common Behavioral Red Flags of Fraud Perpetrators

Module 2: Fraud Schemes and Typologies 

  • First-, Second-, and Third-Party Fraud
  • Billing, Skimming, Payroll, Expense, and Procurement/Vendor Fraud Schemes
  • Identity Theft and Synthetic Identity Fraud
  • Account Takeover (ATO) Fraud
  • Insider and Employee Fraud
  • Detecting Single, Second, or Third-Party Fraud

Module 3: Digital & Payments Fraud

  • Card-Not-Present (CNP) and Card-Present Fraud
  • UPI, Mobile Wallet, and Real-Time Payments Fraud
  • E-commerce and Marketplace Fraud (chargeback fraud, triangulation fraud, refund abuse)
  • Business Email Compromise (BEC) and Vendor Impersonation Fraud
  • Phishing, Vishing, Smishing, and Social Engineering Fraud
  • Deepfake, Voice-Cloning, and GenAI-Enabled Fraud
  • Telecom and SIM-Swap Fraud

Module 4: Red Flags and Fraud Indicators 

  • Behavioral Red Flags (individual conduct, lifestyle indicators)
  • Transactional Red Flags (structuring, velocity, round amounts, off-hours activity)
  • Documentary and Accounting Red Flags
  • Identifying Opportunities for Fraud

Module 5: Regulatory Framework, AML and Compliance

  • Overview of Relevant Laws and Regulations (global)
  • Anti-Money Laundering (AML) Fundamentals and the Fraud–AML Overlap
  • KYC, CDD, and Enhanced Due Diligence (EDD)
  • India Regulatory Context: RBI Guidelines, PMLA, FIU-IND Reporting
  • Suspicious Activity/Transaction Reports (SAR/STR) — When and How to File
  • Sanctions and PEP Screening Basics
  • Global Standards: FATF Recommendations
  • Forensic Accounting and Investigation Standards (FAIS)
  • Consequences of Non-Compliance

Module 6: Fraud Risk Management 

  • Risk Basics and Sources of Risk
  • Risk Identification, Analysis, and Assessment
  • Risk Measurement and Handling Methods
  • Risk Management and Financial Ratios

Module 7: Fraud Detection Techniques 

  • Recognizing the Symptoms of Fraud; Tips and Complaints
  • Anomaly Detection Fundamentals
  • Data Analysis Techniques for Fraud Detection
  • Applying Benford's Law, Z-Score, and Correlation Analysis
  • Industry-Specific Fraud Detection
  • Network and Link Analysis for Fraud Rings and Mule Accounts
  • Introduction to Predictive and Behavioral Analytics

Module 8: Fraud Monitoring Operations

  • Fraud Monitoring Fundamentals and Monitoring Tools
  • Risk-Based Monitoring
  • Alert Generation and Rule-Based Monitoring Systems
  • Alert Triage, Disposition, and Escalation Workflow
  • False Positive Reduction and Rule Tuning
  • Case Management Systems: An Overview
  • Key Performance Indicators (KPIs) for Fraud Monitoring
  • Feedback Loops and Continuous Improvement Strategies

Module 9: MS-Excel for Fraud Analytics 

  • Excel for Fraud Analysis: Sort, Filter, Pivot Tables
  • Key Formulas and Functions for Transaction Analysis
  • Logical, Date/Time, Lookup, and Reference Functions
  • Building a Simple Fraud Dashboard in Excel

Module 10: SQL for Fraud Investigators

  • SQL Basics: SELECT, WHERE, JOIN, GROUP BY
  • Writing Queries to Identify Duplicate, Structured, or Outlier Transactions
  • Aggregation and Pattern Queries for Fraud Analysis

Module 11: Tableau for Fraud Monitoring 

  • Tableau Basics, Working, and Data Terminology
  • Data Types and Data Cleaning in Tableau
  • Tableau Calculations, Functions, and Filters
  • Building Fraud Monitoring Dashboards
  • Case Study: Detecting Anomalies in Credit Card Transactions

Module 12: Fraud Investigation

  • The Fraud Investigation Process, End to End
  • Evidence Collection and Chain of Custody
  • Interviewing Techniques and the Cognitive Interview
  • Digital Forensics Basics for Fraud Investigators
  • Writing the Fraud Investigation Report
  • Working with Law Enforcement and Legal Teams
  • Successfully Investigating and Closing a Fraud Case

Module 13: Internal Controls 

  • Internal Control Basics, Types, and Common Procedures
  • COSO Framework
  • Internal Controls Policy and Procedures

Module 14: Ethics and Privacy in Fraud Monitoring 

  • Professional Ethics in Fraud Detection
  • Balancing Privacy and Security
  • Data Privacy Considerations
  • Ethical Dilemmas in Fraud Monitoring

Module 15: New-Age Technology in Fraud

  • Artificial Intelligence and Machine Learning in Fraud Prevention
  • Generative AI as a Fraud Risk: Deepfakes and Synthetic Content
  • Blockchain and Fraud Prevention
  • Blockchain Forensics and Cryptocurrency Forensics
  • Biometric Authentication and Its Limits

Module 16: Emerging Trends in Fraud Monitoring 

  • Cybersecurity Threats Relevant to Fraud
  • Social Engineering Techniques
  • Technological Advancements and Associated Risks

Module 17: Case Studies and Real-World Fraud

  • Banking Industry Fraud Monitoring Case Study
  • Insurance Industry Fraud Monitoring Case Study
  • Healthcare Industry Fraud Monitoring Case Study
  • Retail and E-commerce Fraud Monitoring Case Study
  • Fintech and Digital Payments Fraud Case Study
  • Cross-Border and Trade-Based Fraud Case Study

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