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AI Fraud Data Analyst (Senior)

Tel Aviv

Full-Tme

Who we are

Ballerine is the AI-native, agentic merchant risk and compliance platform for acquirers, PSPs, and banks. We power merchant underwriting, KYB/AML, ongoing monitoring, and financial crime management for payment companies worldwide. And we go beyond the platform: we help our customers transform their risk and compliance processes to be agentic, so they can save time and money, scale, and manage risk and compliance in a safer and more efficient way.

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Our customers operate in one of the most regulated corners of financial services. They don't just need software, they need it working inside their real workflows, policies, and constraints. That's why we're growing our forward-deployed engineering team.

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Ballerine is a leading AI-native risk platform that uncovers and stops scams, fraud, and other bad actors before they enter financial systems.
We scan and interpret the entire digital footprint of a business - from websites and social media to hidden online mentions - revealing who they really are and whether they pose a risk.
Global financial institutions and payment providers rely on us to stop fraudsters running shell companies, selling counterfeit goods, or laundering money.

The Role

What We Do?

What You'll Do

This is a full-time on-site role for an AI Data Analyst, located in the Tel Aviv District, Israel. The AI Data Analyst will be responsible for analyzing data, developing data models, conducting statistical analysis, and communicating findings to relevant stakeholders. Daily tasks will include interpreting complex data sets, generating actionable insights through data analytics, and supporting the development of AI-powered compliance solutions.

What You Bring

Strong Analytical Skills and proficiency in Data Analytics in Fraud/Payments related role
Strong with Statistics and Data Modeling
Strong background in SQL and writing scripts in Python / JS
Excellent Communication skills and Business understanding
Ability to work on-site in the Tel Aviv District, Israel
Bachelor's degree in Data Science, Statistics, Computer Science, Math, or related field
Experience in the fraud / payments / compliance industry is a plus