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Payment Screening Tuning & Optimisation on FircoSoft
Lower false positives and tighten true match rates on FCM. Tier 1 bank methodology.
4.9 rating 312 enrolled 34 lessons 7h 33m
Syllabus
8 modules · 34 lessons
- Welcome and course tour8m
- FircoSoft Continuity in the payment stack18m
- Anatomy of a payment alert18m
- Match scoring inside FCM18m
- Module check: alert anatomy5m
- OFAC, UN, EU and HMT lists in FCM8m
- Private and internal list management18m
- List refresh cadence and risk18m
- Cleaning input data for screening5m
- Party level vs pair level good guys8m
- Designing a good guy approval workflow18m
- White listing patterns and pitfalls18m
- Stop word libraries and edge cases18m
- Module check: governance scenarios5m
- How FCM scores fuzzy matches8m
- Tuning thresholds with above the line testing18m
- Below the line sampling for missed risk18m
- Iterative threshold change methodology5m
- BIC corroboration logic8m
- IBAN country code rules18m
- Sanctioned country handling18m
- Case study: false positive reduction with BIC5m
- Analyst workflow inside FCM8m
- Disposition codes and consistency18m
- Escalation paths to second line18m
- Quality assurance sampling5m
- Building an audit ready tuning memo8m
- Evidence packs for second line review18m
- Talking to the regulator18m
- Written exercise: defending a tuning change5m
- KRIs for screening performance8m
- Drift detection and re tuning triggers18m
- Annual tuning programme cadence18m
- Capstone assessment30m