Banking Fraud Prevention Training Course

Participants can complete a documented fraud risk assessment and prioritise treatment actions.

• Fraud risk assessment scope defined using products, channels and customer segments
• Inherent risk scored with likelihood, impact, velocity and control dependence
• Control design tested against preventive, detective and corrective objectives
• Residual risk ratings documented in a fraud risk register
• Key risk indicators set with thresholds, owners and escalation triggers
• Risk appetite statements translated into measurable fraud tolerance limits

Participants can assess whether operational controls prevent, detect and correct fraud exposure.

• Segregation of duties matrices expose incompatible payment and account-maintenance access
• Maker-checker controls configured for transactions, exceptions and master-data changes
• Access recertification reviews privileged entitlements and dormant user accounts
• Reconciliations match ledger, payment, settlement and suspense-account balances daily
• Exception reporting identifies overrides, reversals, split transactions and unusual timing
• Control self-assessments record evidence, deficiencies, owners and remediation dates

Participants can identify identity and onboarding fraud indicators within customer due diligence processes.

• KYC evidence assessed for identity, beneficial ownership and source-of-funds anomalies
• Document fraud indicators recognised in identification, address and corporate registration records
• Customer due diligence triggers calibrated for higher-risk relationships and events
• Account-opening controls detect synthetic identities, mule accounts and impersonation
• Adverse media findings corroborated before customer acceptance or restriction decisions
• Periodic review schedules prioritise customer risk, activity changes and documentation gaps

Participants can identify, contain and escalate common payment and card fraud events.

• Payment fraud typologies cover authorised push payment, account takeover and mule activity
• Transaction monitoring scenarios detect velocity, beneficiary and behavioural anomalies
• Confirmation-of-payee and beneficiary verification reduce misdirection and impersonation losses
• Card fraud controls address skimming, card-not-present and counterfeit transaction patterns
• Real-time intervention decisions balance customer friction, loss exposure and evidence
• Recall, freeze and recovery procedures preserve payment-chain information

Participants can recognise digital fraud signals and strengthen authentication and customer-contact controls.

• Phishing, vishing and business email compromise analysed through attacker techniques
• Authentication controls compared: passwords, MFA, device binding and behavioural biometrics
• Account takeover signals include credential resets, device changes and payee additions
• Social engineering scripts tested against call-centre verification and escalation procedures
• Cybersecurity incident handoffs define evidence, containment and customer communication responsibilities
• Customer warnings designed around scam typologies, decision points and reporting routes

Participants can plan fair, evidence-based responses to suspected employee fraud and misconduct.

• Employee fraud schemes cover misappropriation, falsified expenses, collusion and override
• Red flags assessed through lifestyle, access, reconciliation and complaint data
• Whistleblowing channels evaluated for confidentiality, non-retaliation and case triage
• Investigation plans define allegations, scope, evidence sources and legal constraints
• Interview preparation separates fact gathering, admissions strategy and procedural fairness
• Disciplinary and control responses address root causes without prejudging allegations

Participants can use fraud data, alert quality measures and case records to support defensible decisions.

• Fraud data dictionaries standardise fields, definitions, lineage and quality checks
• Benford's Law screens transaction populations for anomalous digit distributions
• Link analysis maps relationships among customers, accounts, devices and beneficiaries
• Rule-based scenarios tuned using alert volumes, hit rates and losses
• Case management records evidence, decisions, rationale and audit trails
• False-positive analysis distinguishes weak detection logic from changing customer behaviour

Participants can manage fraud incidents from triage through reporting, customer action and post-incident review.

• Incident triage prioritises containment, customer protection, evidence preservation and notification
• Chain-of-custody logs maintain admissibility of documents, devices and transaction records
• Suspicious activity reports separate observed facts, indicators and unsupported conclusions
• Regulatory notifications coordinated with legal, compliance, operations and communications teams
• Customer reimbursement decisions follow policy, contractual terms and documented evidence
• Post-incident reviews assign corrective actions, deadlines and effectiveness measures

Participants can report fraud performance and build a prioritised plan for control improvement.

• Fraud governance forums review losses, risks, alerts, investigations and overdue actions
• Management information packs combine KRIs, losses, recoveries, alerts and control status
• Root-cause analysis applies five whys and fishbone categories to incidents
• Control remediation plans specify actions, accountable owners, dates and validation evidence
• Scenario testing challenges response readiness for major payment fraud events
• Personal application plans prioritise ninety-day control and monitoring improvements