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Senior Fraud Analyst (AI/ML)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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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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