III IC-39 study plan
III IC-39 · Give each week a clear focus.
8 weeks · About 7 hours per week
Fraud Risk Management in Insurance
Map the full Fraud Risk Management in Insurance syllabus into a one-page topic tree showing the fraud risk management cycle from risk identification through monitoring and reporting
Define the core vocabulary of insurance fraud (moral hazard, adverse selection, opportunistic versus organized fraud, claims fraud, underwriting fraud, intermediary fraud, internal fraud) in your own words with one example each
Identify the main fraud typologies affecting life, health, property/casualty, and commercial lines, and note which lines carry the highest exposure
List the stakeholders in an insurer's anti-fraud framework (board, risk committee, claims, underwriting, compliance, internal audit, distribution, external bodies) and state each one's role
Your checkpoint
A one-page fraud taxonomy diagram plus a glossary of at least 25 terms with original examples and a line-of-business exposure ranking
Fraud Risk Management in Insurance
Explain how fraud risk appetite is set and cascaded into tolerances, thresholds, and escalation triggers
Describe the components of a fraud risk governance structure, including three-lines-of-defense roles and the fraud risk committee's mandate
Distinguish fraud risk assessment from enterprise risk assessment and outline a repeatable fraud risk assessment method (inherent risk, control effectiveness, residual risk)
Draft fraud risk register entries for four scenarios, each with likelihood, impact, and residual rating rationale
Your checkpoint
A four-entry fraud risk register with scored inherent and residual risk plus a one-page note on how the insurer's fraud risk appetite translates into escalation thresholds
Fraud Risk Management in Insurance
Identify red flags at underwriting (misrepresentation of health, occupation, sum insured, prior claims, beneficiary relationships) and at claims (timing, documentation inconsistencies, provider patterns, staged incidents)
Explain the purpose and limits of data analytics, anomaly detection, and social network analysis in detecting fraud at application and claim stage
Outline the claims investigation lifecycle from referral through evidence gathering, interview, decision, and outcome coding
Describe how fraud indicators feed back into pricing, underwriting rules, and product design
Your checkpoint
A red-flag checklist of at least 30 indicators split by stage (application, underwriting, claim, payout) with a short note on how each would be used analytically
Fraud Risk Management in Insurance
Explain the control objectives and design of preventive controls (identity verification, sanctions and watchlist screening, pre-policy checks, authority limits, segregation of duties)
Explain detective controls (post-claim review, provider audits, duplicate claim matching, whistleblowing channels, reconciliation) and how their effectiveness is tested
Evaluate control gaps in a worked claims scenario and propose proportionate remediation
Describe how control testing results are reported to governance bodies
Your checkpoint
A control matrix mapping at least 12 fraud controls to the risks they mitigate, with control type, owner, and a proposed test approach for each
Fraud Risk Management in Insurance
Summarize the legal and regulatory expectations that shape an insurer's anti-fraud obligations, including reporting duties and cooperation with authorities
Explain the fraud investigation process end to end, including evidence handling, documentation standards, and the rights of the person under investigation
Distinguish internal disciplinary action, civil recovery, and criminal referral, and state the criteria for choosing among them
Describe how recoveries, denials, and voided policies are recorded and how outcomes are communicated to regulators and industry databases
Your checkpoint
A two-page investigation and escalation playbook covering triggers, evidence standards, decision authority, and referral criteria
Fraud Risk Management in Insurance
Explain how fraud losses and control costs are quantified and reported, including recovery rates and leakage estimation
Describe the design of fraud awareness training for staff and distributors and how its effectiveness is measured
Outline the requirements for a fraud management information pack (metrics, trends, emerging schemes, near misses) suitable for a risk committee
Identify emerging fraud risks such as digital distribution, synthetic identities, deepfakes in claims evidence, and organized claims farming
Your checkpoint
A one-page fraud MI dashboard specification with at least eight metrics, their definitions, and target reporting frequency
Fraud Risk Management in Insurance
Integrate the syllabus into an end-to-end narrative: from risk appetite and assessment through controls, detection, investigation, and reporting
Answer at least 60 practice questions under timed conditions and log every miss by root cause (knowledge gap, misread, or reasoning error)
Rewrite your weakest five topics into concise one-page summaries from memory, then correct them against source material
Rehearse explaining the three-lines-of-defense model and the fraud risk assessment method aloud without notes
Your checkpoint
A timed 60-question practice set with a scored error log and five corrected one-page topic summaries
Fraud Risk Management in Insurance
Complete two full-length timed mock exams and compare scores against your week-7 baseline
Review every remaining error and close each gap with a targeted source re-read
Condense the entire syllabus into a two-page final recall sheet covering frameworks, control types, investigation steps, and reporting duties
Confirm exam-day logistics and rehearse the recall sheet twice from memory
Your checkpoint
Two completed mock exams with scores, a closed error log, and a final two-page recall sheet
Milestones
Week 2: You can explain the fraud risk management cycle and three-lines-of-defense roles from memory and have a scored four-entry risk register
Week 4: You can name at least 30 fraud red flags by stage and justify 12 controls with a test approach for each
Week 6: You can walk through an investigation from referral to referral decision, and your MI specification covers loss, recovery, and emerging-scheme metrics
Week 8: Mock exam scores are stable and above your target, and every logged error has a documented fix