IASIU CIFA study guide
IASIU CIFA · Work through your exam, one topic at a time.
The Certified Insurance Fraud Analyst (CIFA) is a credential issued by the International Association of Special Investigation Units (IASIU). IASIU describes it as an accrediting process covering the topics that make an analyst well rounded across all aspects of fraud analysis, with a high standard for admission and testing that includes adherence to the IASIU code of ethics. The IASIU CIFA study guide has 12 sections and about 3,746 words.
01Definition of an Analyst
The Definition of an Analyst domain tests whether you can place the fraud analyst correctly inside an insurer's anti-fraud function: an analytical role that supports - but never replaces - the investigator, the adjuster, and legal counsel. Expect questions on role boundaries, objectivity, and the analyst's standard deliverables.
346 words, about 2 min02Fraud Analytical Skills
Fraud Analytical Skills covers the reasoning habits that turn raw claims data into defensible indicators: benchmark selection, stratification, triangulation, base rates, and professional skepticism. The exam rewards analyses that separate an anomaly from a fraud indicator.
330 words, about 2 min03Problem-Solving and Critical Thinking Skills
This domain tests structured reasoning under uncertainty: framing a question, generating competing hypotheses, and choosing the explanation that survives the evidence. Expect scenario items where one plausible story is offered and a duller explanation is correct.
327 words, about 2 min04What is Data?
This domain tests whether you can describe, classify, and judge the quality of the data an insurer holds before you analyze it. Expect items on measurement scales, structured versus unstructured sources, and data-quality dimensions.
316 words, about 2 min05Basic Knowledge of Databases and Tables
This domain tests relational fundamentals as they appear in insurance systems: tables, keys, relationships, grain, and joins. Expect questions where the right answer depends on knowing what one row represents.
337 words, about 2 min06Data Analysis Steps
This domain tests the disciplined sequence of an analysis, from question definition to reproducible delivery. Items often ask what step is missing or what should happen next.
301 words, about 2 min07Excel Skills for Fraud Analysis
This domain tests practical spreadsheet competence for fraud work: exact-match lookups, multi-criteria aggregation, duplicate detection, and repeatable cleaning. Items test whether you know why a formula returns the wrong answer.
307 words, about 2 min08Visualizing Data
This domain tests chart selection and honest presentation: choosing the form that fits the question and avoiding designs that exaggerate or hide the finding. Items ask which chart or setting is appropriate.
273 words, about 1 min09Fraud Detection Techniques
This domain tests the toolkit for finding fraud without a specific tip: rules, benchmarking, duplication tests, digit analysis, link analysis, and anomaly detection - plus knowing when each is invalid. Exception rules and red-flag queries screen the full population; sampling is for validation, not for coverage.
309 words, about 2 min10Communication Skills for Fraud Analysts
This domain tests whether you can write and present analysis that is accurate, brief, and defensible in court. Items test wording, structure, audience fit, and handling of confidentiality.
300 words, about 2 min11Basic SQL for Fraud Analysis
This domain tests read-only querying of claims and policy data: filtering, aggregating, joining, and spotting the errors that silently produce wrong results. Items typically ask why a query returns too many rows or inflated totals.
306 words, about 2 min12Basic Programming for Data Analysis
This domain tests whether you can automate fraud analysis reproducibly: reading and cleaning data, joining sources, matching entities, and validating results. Expect items on merge effects, string matching, and handling sensitive data.
294 words, about 1 min