Fraud Analysis and Risk Decision for QRIS Acquiring Business

Fraud Analysis and Risk Decision for QRIS Acquiring Business

Fraud Analysis and Risk Decision for QRIS Acquiring Business

22-23 Juni 2026 Yogyakarta Hotel Ibis Style

Deskripsi

Pertumbuhan transaksi digital melalui QRIS (Quick Response Code Indonesian Standard) telah menciptakan peluang bisnis yang sangat besar bagi industri perbankan dan penyelenggara jasa sistem pembayaran. Seiring dengan meningkatnya jumlah merchant, volume transaksi, dan adopsi pembayaran digital, risiko fraud pada bisnis QRIS acquiring juga mengalami peningkatan baik dari sisi kompleksitas maupun frekuensinya.

Modus fraud pada ekosistem QRIS saat ini tidak hanya terbatas pada transaksi fiktif (fictitious transaction), tetapi telah berkembang menjadi merchant fraud, transaksi laundering, penyalahgunaan merchant category, account takeover, mule account, refund fraud, social engineering, synthetic identity, hingga berbagai pola kejahatan berbasis teknologi dan cybercrime yang sulit dideteksi melalui metode pengawasan konvensional.

Pelatihan "Fraud Analysis and Risk Decision for QRIS Acquiring Business" dirancang untuk memberikan pemahaman komprehensif mengenai identifikasi, analisa, pengukuran, monitoring, dan pengambilan keputusan risiko pada bisnis acquiring QRIS. Peserta akan mempelajari bagaimana mengidentifikasi pola fraud, melakukan analisa perilaku transaksi merchant, membangun sistem monitoring yang efektif, mengembangkan merchant risk scoring, serta mengambil keputusan risiko secara tepat dengan tetap menjaga keseimbangan antara pertumbuhan bisnis dan pengendalian risiko.

Selain membahas aspek fraud management, pelatihan ini juga mengupas penerapan data analytics, transaction monitoring, fraud intelligence, risk-based merchant onboarding, anti money laundering (AML), counter terrorism financing (CTF), serta pengelolaan risiko operasional dalam ekosistem pembayaran digital. Peserta akan memahami bagaimana memanfaatkan data transaksi untuk membangun early warning system, mendeteksi anomali transaksi, serta menyusun framework pengendalian fraud yang efektif dan berkelanjutan.

Tujuan

  • Memahami model bisnis dan ekosistem QRIS acquiring.
  • Mengidentifikasi berbagai modus fraud pada transaksi QRIS.
  • Menganalisis perilaku transaksi merchant dan pola fraud.
  • Melakukan merchant risk assessment dan merchant risk scoring.
  • Mengembangkan fraud detection dan transaction monitoring system.
  • Mengambil keputusan risiko (risk decision) secara objektif dan terukur.
  • Mengimplementasikan risk-based merchant onboarding.
  • Membangun early warning system untuk fraud prevention.
  • Mengintegrasikan aspek AML/CFT dalam monitoring transaksi QRIS.
  • Memperkuat governance, compliance, dan fraud risk management.

Materi

  • Overview QRIS Acquiring Business
  • Ekosistem QRIS nasional
  • Peran acquirer, issuer, merchant dan switching
  • Model bisnis acquiring QRIS
  • Revenue stream acquiring business
  • Merchant acquiring lifecycle
  • Risk landscape pada QRIS
  • Tantangan dan tren pembayaran digital
  • Fraud Risk Management Framework pada QRIS
  • Definisi fraud pada digital payment
  • Fraud risk management framework
  • Fraud governance structure
  • Fraud control environment
  • Fraud risk appetite
  • Fraud risk ownership
  • Three Lines Model dalam fraud management
  • Fraud culture awareness
  • Modus Fraud pada QRIS Acquiring
  • Merchant fraud
  • Synthetic merchant
  • Fake merchant registration
  • Transaction laundering
  • Self-generated transaction
  • QRIS abuse & misuse
  • Refund fraud
  • Account takeover
  • Social engineering fraud
  • Identity theft
  • Mule account scheme
  • Cyber-enabled fraud
  • Merchant Risk Assessment
  • Know Your Merchant (KYM)
  • Merchant due diligence
  • Merchant onboarding assessment
  • Beneficial ownership verification
  • Merchant category risk assessment
  • Merchant profiling
  • High-risk merchant identification
  • Merchant risk rating methodology
  • Transaction Monitoring & Fraud Detection
  • Fraud detection framework
  • Rule-based monitoring
  • Scenario-based monitoring
  • Behavioral transaction monitoring
  • Velocity checking
  • Geolocation monitoring
  • Device profiling
  • Merchant transaction pattern analysis
  • Red flag transaction identification
  • Real-time fraud monitoring
  • Data Analytics untuk Fraud Analysis
  • Data-driven fraud management
  • Transaction analytics
  • Merchant behavior analytics
  • Pattern recognition techniques
  • Fraud trend analysis
  • Outlier detection
  • Dashboard fraud monitoring
  • Early warning system development
  • Fraud reporting & visualization
  • Risk Decision & Merchant Scoring
  • Risk-based decision making
  • Merchant scoring model
  • Risk scoring methodology
  • Risk acceptance criteria
  • Approval, review, reject framework
  • Escalation matrix
  • Merchant limit management
  • Portfolio risk segmentation
  • Balancing growth versus risk
  • AML, CFT dan Suspicious Transaction Analysis
  • Prinsip Anti Money Laundering (AML)
  • Counter Terrorism Financing (CTF)
  • Suspicious Transaction Report (STR)
  • Analisa transaksi mencurigakan
  • Detection of unusual transaction patterns
  • Merchant laundering indicators
  • Beneficial owner analysis
  • Escalation & investigation process
  • Fraud Investigation & Incident Handling
  • Fraud investigation methodology
  • Digital evidence collection
  • Root cause analysis
  • Fraud case documentation
  • Incident response management
  • Coordination with compliance and legal
  • Fraud loss recovery strategy
  • Lessons learned process
  • Internal Control & Fraud Prevention
  • Preventive control
  • Detective control
  • Corrective control
  • Segregation of duties
  • Access management control
  • Merchant monitoring control
  • Exception management
  • Fraud prevention strategy
  • Governance, Compliance & Regulatory Framework
  • Regulasi sistem pembayaran
  • Regulatory expectation terhadap QRIS
  • Risk management framework
  • Governance dalam bisnis acquiring
  • Compliance monitoring
  • Audit readiness
  • Fraud reporting governance
  • Regulatory risk management
  • Emerging Risk dalam Digital Payment
  • Artificial Intelligence fraud
  • Deepfake fraud risk
  • Open API risk
  • QRIS cross-border risk
  • Cybersecurity threat
  • Digital identity fraud
  • Emerging payment fraud trends
  • Future fraud mitigation strategy

Peserta

Divisi Fraud Risk Management

Divisi Fraud Investigation

Divisi Digital Banking

Divisi Payment System & QRIS

Divisi Risk Management

Divisi Data Analytics

Divisi Compliance

Metode

• Pre Test 
• Presentasi Materi 
• Diskusi 
• Studi Kasus 
• Post Test 
 

Fasilitas


• Training Amenities 
• Peralatan Pelatihan (Tas, Hand Out, Flashdisk, Block Note, Pulpen, Watermark) 
• Sertifikat 
• Souvenir 
• 2x Coffee Break, 1x Lunch

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