5 exercises — covering PCI-DSS scope, AML transaction monitoring, KYC pipeline design, regulatory reporting, and audit trail architecture.
Structure for FinTech Compliance Engineering answers
PCI-DSS: scope reduction first (tokenisation, network segmentation), then controls — never expand scope unnecessarily
AML/KYC: distinguish rule-based transaction monitoring from ML-based anomaly detection; both have roles
Audit trails: immutable, timestamped, actor-attributed, searchable — deletion is never acceptable
Regulatory reporting: accuracy > speed; reconciliation gates before submission; version control every report
0 / 5 completed
1 / 5
The interviewer asks: "How do you approach PCI-DSS scope reduction in a payments platform?" Which answer shows the most mature approach?
Option B is strongest. It names the three primary scope reduction techniques (tokenisation at entry, CDE segmentation, processor offload), explains the mechanism of each, and quantifies the result (dozens → three or four in-scope systems). It also mentions the QSA relationship (scope documented and shared before the assessment) which shows process maturity. Option A applies controls to the whole platform — the opposite of scope reduction. Option C is passive — hiring a QSA to define your scope means the QSA finds the problem; you should already know your scope before the QSA arrives. Option D uses SAQ-D — appropriate for some merchants but choosing it because "it covers everything" suggests a misunderstanding of why different SAQ levels exist.
2 / 5
The interviewer asks: "Explain how you would design a transaction monitoring system for AML compliance." Which answer is most architecturally sound?
Option B is strongest. It names two complementary detection layers (rule-based and ML), explains the trade-offs of each (rules = auditable/explainable; ML = catches novel patterns but needs explainability), names specific typologies (structuring, velocity, geography), describes the case management workflow, includes the ML feedback loop, and specifies the regulatory output (SAR format for the FIU) and retention requirement (five years immutable). Option A is the UK threshold reporting rule, not a monitoring system. Option C offloads compliance to a vendor but does not describe the engineering design. Option D assigns all logic to SQL stored procedures — not scalable and does not address ML detection or the workflow.
3 / 5
The interviewer asks: "How do you build and maintain a KYC (Know Your Customer) pipeline that is both scalable and regulatory-compliant?" Which answer demonstrates the most complete understanding?
Option C is strongest. It describes all three phases of a compliant KYC pipeline (onboarding verification, ongoing monitoring, risk tiering), names the specific checks (document OCR, liveness, PEP/sanctions/adverse media), specifies the re-screening triggers (watchlist updates, behaviour changes), explains EDD proportionality for high-risk customers, addresses the audit trail requirement, and acknowledges the operational reality of false positives (dispute playbook). Option A is data collection, not a pipeline. Option B offloads to a third party and skips ongoing monitoring. Option D treats KYC as one-time — incorrect; ongoing monitoring is a regulatory requirement.
4 / 5
The interviewer asks: "Describe the audit trail architecture you would build for a financial platform." Which answer is most complete?
Option B is the strongest. It defines four necessary properties (immutability, completeness, searchability, retention), names the technical implementation for each, includes log integrity verification, specifies tiered storage economics, and handles the GDPR/audit trail conflict correctly (retain the audit record; pseudonymise PII within it — deletion of the record itself is not acceptable). Option A uses CloudWatch with 90-day retention — far too short for financial regulations. Option C uses soft delete — records marked as deleted are not truly immutable. Option D exports logs but has no integrity verification and no retention policy.
5 / 5
The interviewer asks: "How do you ensure the accuracy of regulatory reports (e.g. transaction reports to the FCA) before submission?" Which answer shows the most rigorous process?
Option C is the strongest. It defines six quality gates (reconciliation, schema validation, completeness, dual control, test submission, version control), names the specific technical artefacts (XSD/JSON schema, regulator test environment), includes the sign-off audit trail, and maintains a rejection runbook. This is a mature regulatory reporting process. Option A defers errors to the next period — regulators typically have tight correction windows and errors can trigger fines. Option B describes one human review with no structured gates. Option D removes human review entirely — unacceptable for regulatory submissions where errors have legal consequences.