Fraud Data Scientist: AI-Driven Risk Analytics + Equity

Unchain Data; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Coinflow is hiring a Fraud Data Scientist to be the analytical brain behind our fraud models. You will evaluate model performance, identify shifting fraud patterns, and recommend features and strategy changes.

You’ll work with engineers, risk operations, and compliance to turn data into actionable decisions and improve model explainability for leadership and auditors. The role covers card, bank, and alternative rails for merchants across gaming, marketplaces, remittance, and ecommerce with

Qualifications

• 4+ years as a data scientist or analyst working on fraud, risk, or abuse.
• Used analysis to measurably improve production fraud models or rules.
• Strong SQL and Python; familiarity with ML concepts behind fraud models.
• Solid grasp of the fraud problem space: CNP fraud, account takeover, card testing, friendly fraud.
• Comfort with messy, imbalanced, delayed-label data and honest evaluation.
• Experience designing experiments with false positive and false negative tradeoffs.
• Ability to explain model behavior to merchants, risk ops, banks, and auditors.

Responsibilities

• Model Performance Analysis: Track model performance over time by merchant segment.
• Fraud Trend Analysis: Spot emerging patterns early and size impact.
• Feature Recommendations: Explore signals and prototype features for models.
• Label Quality & Feedback Loops: Own ground truth and address noisy labels affecting models.
• Experimentation & Evaluation: Design backtests and compare third-party vendors vs. own models.
• Rules & Strategy: Tune thresholds, rules, and decision strategies per merchant segment.

Skills

SQL

Python

Fraud/risk experience

Experiment design

Communication to stakeholders

Job description

Coinflow is hiring a Fraud Data Scientist to be the analytical brain behind our fraud models. You will evaluate model performance, identify shifting fraud patterns, and recommend features and strategy changes.

You’ll work with engineers, risk operations, and compliance to turn data into actionable decisions and improve model explainability for leadership and auditors. The role covers card, bank, and alternative rails for merchants across gaming, marketplaces, remittance, and ecommerce with