Fraud Intelligence
Course goal — Detect, investigate, and disrupt fraud — from account takeover to mule networks — using behavioral signals and graph analytics. Level — Professional · Duration — ~10 hours · Format — Lessons + labs + capstone
Who this is for
- Fraud analysts and investigators
- Risk operations and disputes teams
- Engineers building fraud platforms
- Architects designing fraud graph systems
Modules
- Fraud landscape and typologies
- Account takeover detection
- Mule account identification and disruption
- Synthetic identity fraud
- Scam and authorized push payment fraud
- Behavioral risk and device intelligence
- Fraud graph analytics and ring detection
- Alert investigation workflow
- Loss recovery and continuous improvement
Hands-on labs
- Build a session and device risk rule for account takeover
- Detect mule accounts in a transaction network
- Identify a synthetic identity ring with graph features
- Investigate a high-value scam alert end-to-end
- Tune a fraud model with feedback from disputes
Capstone
Design a fraud program for a digital bank — covering signals, models, graph analytics, alert handling, investigations, and loss recovery.
Knowledge check
A 30-question exam covers fraud typologies, signals, graph analytics, investigation, and recovery. An 80% passing score unlocks the certification track.
Outcomes
- Detect account takeover, mule, synthetic, and scam fraud
- Use graph analytics to expose hidden fraud networks
- Investigate alerts with audit-grade evidence
- Tune models with feedback from disputes and recoveries
- Continuously improve fraud strategy across channels
Prepares you for
- Wardya Certified AML & Fraud Foundations Associate
- Wardya Certified Fraud Intelligence Professional
- Wardya Certified AML & Financial Crime Expert
- Wardya Certified Trust Intelligence Professional