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Senior Fraud Analyst (AI/ML)
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TL;DR
Senior Fraud Analyst (AI/ML): Building an AI-first fraud detection ecosystem for a high-volume payments and business management platform with an accent on generative AI, advanced machine learning, graph-based heuristics, and forensic investigations. Focus on designing LLM-powered workflows, identifying synthetic identities and fraud rings, and enabling real-time risk inference across payment products.
Location: Tel Aviv-Yafo, Israel
Company
HoneyBook is an AI-powered business management platform for service-based businesses, supporting lead generation, client communication, project booking, and payments.
What you will do
- Define the long-term technical roadmap for an AI-first, autonomous fraud detection ecosystem.
- Design and implement generative AI agents and LLM-powered workflows for forensic fraud investigations.
- Develop machine learning models and graph-based heuristics to detect collusion, synthetic identities, and fraud rings.
- Advise Product and Engineering on scalable safeguards for payment features such as RTP and international expansion.
- Investigate high-impact fraud attacks using Python, network analytics, SQL, and real-time AI inference infrastructure.
- Establish technical standards for the fraud analytics stack and data environment.
Requirements
- 5+ years of experience in fintech or payments fraud analytics, including work in complex, high-volume environments.
- Proven experience with generative AI, LLMs, RAG, agentic workflows, and machine learning for risk problems.
- Expert Python and SQL skills, including automation, performance tuning, CTEs, and window functions.
- Deep experience with graph databases such as Neo4j or TigerGraph and link-analysis techniques.
- Strong knowledge of the payments lifecycle, including CNP, ACH, and RTP risk, plus SaaS and marketplace fraud.
- Understanding of PCI DSS, Nacha rules, and emerging AI regulations in financial services; advanced data visualization with Looker, Tableau, Omni, Superset, or equivalent.
Nice to have
- Experience scaling fraud programs in marketplace, SaaS, or creator-economy environments.
- Bachelor’s or Master’s degree in computer science, statistics, mathematics, economics, or a related quantitative field.
Culture & Benefits
- Mission-driven work focused on helping independent businesses succeed.
- Fast-paced environment with emphasis on innovation, ownership, collaboration, feedback, and continuous growth.
- Competitive salary and meaningful equity grants.
- Wellness programs and family leave policies.
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