Coinflow Labs
Fraud Data Scientist
$120K–$180K
Chicago · On-site · Full-time · Posted Oct 29, 2026
- Experience
- 4+ years as a data scientist or analyst working on fraud, risk, or abuse.
About the job
Analyzes fraud models, trends, features, labels, and experiments, then recommends model and decision-strategy changes across payment types and merchant segments.
What you'll do
- Analyze model and rule performance, fraud trends, and label quality; explain changes and their impact.
- Explore and validate fraud signals, design model evaluations and experiments, and assess third-party vendors.
- Recommend rules, thresholds, and authentication strategies; communicate findings to business and external stakeholders.
What they ask for
- 4+ years as a data scientist or analyst working on fraud, risk, or abuse.
- Evidence of measurably improving production fraud models or rules through analysis.
- Strong SQL and Python; fluency in statistics and ML concepts relevant to fraud models.
- Knowledge of fraud types, messy and delayed-label data, experiment design, and explaining model tradeoffs.
Nice to have
- Familiarity with graph or network analysis for linked accounts and fraud rings.
- Comfort with AI-native tooling, or genuine excitement to start using it.
Pay
$120,000 - $180,000 USD base salary
Tools
SQL, Python
AI focus
Use AI-native tooling to accelerate analysis, feature exploration, and experimentation.
Model-written summary · the original posting is authoritative