Course Outline
P2P Exchange Operations and the Fraud Risk Landscape
- The escrow-based order lifecycle and asset release.
- Identifying exposure: off-platform fiat versus on-platform crypto.
- Consequences of fraud loss, chargebacks, and bank claims.
Exercise 1, Map the Exposure: Teams trace one buy order and one sell order from placement to release, identifying every point where off-platform payment breaks the link between identity and funds.
Regulatory Framework and Supervisory Expectations
- FATF Recommendations, VASP obligations, and the travel rule.
- Cryptoasset supervisory authorities and exchange house licensing.
- Jurisdictional risk, grey-list monitoring, and sanctions exposure.
Fraud Typologies in P2P Trading
- Payment channel deviation and mismatched payer accounts.
- Triangulation, third-party payers, and reused payment proof.
- Partial, altered, and visually similar amounts.
Case Study, Five Recurring Patterns: Participants classify real anonymised dispute records against five typologies and identify the control failure in each instance.
False Confirmations, Forged Receipts, and Account Takeover
- Orders marked as paid without an actual transfer.
- Edited screenshots and falsified bank receipts.
- Cross-phishing in order chats and credential theft.
- Hijacked accounts reused to defraud other users.
Workshop, Phishing in the Order Chat: Teams compare a genuine support message with a fraudulent one, then draft the takedown and revalidation path for the reported account.
KYC for Individuals: Level 1 and Level 2
- Level 1 data capture and identity document review.
- Level 2 revalidation, video-selfie liveness checks, and list screening.
- Matching the verified identity to the payment instrument.
Lab, Onboarding Under Pressure: Participants conduct Level 1 and Level 2 reviews on sample files and record the discrepancies that trigger revalidation.
KYC for Legal Entities and Beneficial Ownership
- Corporate documents, representation powers, and signatories.
- Beneficial ownership chains and control indicators.
- Risk factors for legal persons and periodic review processes.
Identity Fraud and Document Forensics
- Forged, borrowed, and synthetic identities.
- Liveness bypass, deepfake attempts, and injection attacks.
- Revalidation triggers following a dispute or compromise claim.
Lab, Document Forensics: Participants inspect tampered documents and screen captures for inconsistencies in font, layout, metadata, and account numbers.
AML Screening, Sanctions, and PEP
- List matching, tolerance levels, and managing false positives.
- PEP identification, adverse media analysis, and source of wealth verification.
- Enhanced due diligence and escalation thresholds.
Customer Risk Assessment and the Risk-Based Approach
- Customer, product, channel, geography, and behavioural factors.
- Risk rating, review triggers, and treatment decisions.
- Scaling due diligence efforts to match the actual risk level.
Transaction Monitoring and Blockchain Analytics
- Withdrawal approval criteria: account age, KYC status, and history.
- Wallet attribution, high-risk counterparties, and fund tracing.
- Risk assessment of chargeback-prone gateways and payment methods.
Case Study, The Large Withdrawal: Participants review a withdrawal request with a mixed funding history, decide whether to approve or escalate, and justify the decision against monitoring criteria.
Evidence Standards for Payment Proof
- Acceptable evidence: statements and uninterrupted recordings.
- Authenticity checks on documents, captures, and metadata.
- Accurately recording what was verified and what was not.
Lab, Evidence or Artifact: Teams categorise a pack of submissions into acceptable evidence, insufficient evidence, and probable fabrication, and state what should be requested instead.
Disputed Evidence and Interbank Delays
- Resolving cases where both parties submit valid evidence.
- Managing waiting periods for interbank processing and implementing preventive holds.
- Applying documented decision criteria for time-expired orders.
Workshop, Both Sides Are Right: Teams resolve a dispute in which the buyer and seller each hold apparently genuine proof, and defend the outcome.
Action and Sanctions Playbook
- Freezing collateral, restricting accounts, and suspension procedures.
- Handling partial payment deadlines and returns to the originating account.
- Managing refunds to incorrect banks: fees and resolution timeframes.
- Restricting balances and retaining new deposits.
Exercise, Write the Sanction: Participants draft the action, notice, and timeframe for three escalating cases and test them against the playbook criteria.
Case Management, Documentation, and Escalation
- Maintaining case files, internal notes, and evidence retention.
- Using the escalation matrix and department head review processes.
- Filing suspicious activity reports and maintaining records.
Capstone: End-to-End Fraud Case
- Order review, evidence assessment, and identity revalidation.
- Escalation, sanctions decision, and counterparty resolution.
- Preparing a justification memo and undergoing peer review.
Capstone, Full Case Run: Each team handles a complete simulated case from the first suspicious message to the final decision, presenting a written justification for peer review.
Diagnostic and Advisory Session (Additional Component)
- Review of current practices and protocol gaps.
- Guidance on evidence standards and handling disputed cases.
- Guidance on actions and sanctions criteria.
Requirements
- A basic understanding of fraud prevention concepts.
- Familiarity with KYC and customer onboarding processes.
- No technical or programming background is required.
Audience
- Customer support and service agents handling P2P orders, disputes, and withdrawals.
- Administration staff involved in documentation, reconciliation, and customer records.
- Technology staff supporting monitoring, onboarding, and case management systems.
- Supervisors and team leads responsible for escalation decisions.
Testimonials (2)
Fun to talk
Jihan Fadila - BAF
Course - Root Cause Analysis (RCA) for Internal Audit
casual conversation supported by specific examples