We’re looking for a Data Analyst to join Sardine’s Fraud Intelligence team. This role sits at the intersection of data evaluation, vendor strategy, and fraud detection. You’ll be the analytical engine behind how we assess, test, and onboard new third-party data signals and vendor partnerships — determining which data assets actually move the needle on fraud outcomes for our clients.

This is a high-ownership, high-visibility role. You’ll work closely with the Head of Fraud, product, data engineering, and client-facing teams to build rigorous testing frameworks and translate raw vendor data into actionable fraud intelligence.

Design and execute structured evaluation frameworks to assess the quality, coverage, and fraud-signal value of incoming data assets from vendor partners

Build lift analyses, backtests, and champion/challenger comparisons to quantify the incremental value of new data signals against our existing fraud detection stack

Profile vendor datasets for completeness, freshness, match rates, and population coverage across verticals (crypto, fintech, neobanks, e-commerce, etc.)

Collaborate with fraud leadership to define evaluation criteria tied to real fraud outcomes — false positive rates, catch rates, precision/recall tradeoffs

Translate vendor data findings into clear, actionable recommendations: adopt, pilot, deprioritize, or decline

Partner with data engineering to define ingestion requirements and ensure test environments reflect production-like conditions

Document evaluation results and maintain an internal knowledge base on vendor data performance over time

Support ad hoc deep dives into fraud trends, model performance, and client-specific data questions as needed

Data Analyst - Fraud Intelligence

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Sardine

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