Fraud analyst with 4 years of experience detecting payment and account-takeover fraud at a card issuer and a payments startup. Tuned rules and investigations that cut fraud losses 31% while lowering false declines. Combines SQL pattern analysis with case investigation and close work with engineering on detection logic.
Reviewed 60 high-risk merchant applications a day against KYB and AML criteria
Identified a refund-abuse pattern that saved $260K in quarterly losses
Wrote investigation playbooks for 4 common merchant fraud patterns
Fraud Operations Intern, Blue Hen Credit Union (Newark, DE)
Jun 2020 – Aug 2020
Reviewed debit card alerts and contacted members to verify activity
Education
B.S. in Criminal Justice, Minor in Information Systems, University of Delaware (Aug 2017 – May 2021)
Skills
Fraud Detection: rule tuning, link analysis, chargebacks, account takeover
Tools: FICO Falcon, SQL, Sift, Python, Excel
Compliance: BSA/AML, SAR filing, KYC/KYB
Certifications: CFE (Certified Fraud Examiner)
How to write a Fraud Analyst resume
A strong Fraud Analyst resume shows the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Put your most relevant recent role first and make every bullet show a result, not a duty.
Sections, in order
Summary
Experience
Projects
Skills
Education
Length: One page for most candidates; move to two only if every line is relevant.
Summary: Write two or three lines: your role, your strongest skills, and one result that proves them.
Skills to feature
SQL
Python or R
Statistics
Machine learning
Data modeling
dbt and ELT pipelines
BI tools (Looker, Tableau, Power BI)
Experiment design
Data visualization
Stakeholder communication
Example bullet points
Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year
Rebuilt the revenue dashboard on dbt and Looker, cutting refresh time from 6 hours to 20 minutes
Designed 25 A/B tests with sequential analysis, shortening the average test from 4 weeks to 10 days
Tips from recruiters
Pair every technique with the decision it informed; "built a model" alone says little.
List tools under grouped skills ("Analytics: SQL, dbt, Looker") so ATS keyword matches are exact.
Link a notebook, Kaggle profile or public analysis if you have one.
Recommended templates
Classic (ATS-friendly): Jake's-style LaTeX classic: small caps and hairline rules
Modern (ATS-friendly): Clean single column with accent headings and rules
Compact (ATS-friendly): Dense single column that fits long histories
Fraud Analyst resume FAQ
What should a Fraud Analyst resume include?
A Fraud Analyst resume should show the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Use these sections in this order: Summary, Experience, Projects, Skills and Education. Put your most relevant recent role first and make every bullet show a result, not a duty.
What is the best resume template for a Fraud Analyst?
Classic, Modern and Compact work well for Fraud Analyst roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Fraud Analyst resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Fraud Analyst put on a resume?
Prioritize the skills named in the job posting. Common ones for Fraud Analyst roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Fraud Analyst resume bullet points?
Start with an action verb, say what you did, and end with a measurable result such as forecast accuracy, revenue impact and query time. For example: "Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year."