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Senior Fraud Analyst

HoneyBook·Israel·
On-siteFull-timeFinancial AnalyticsEnterprise SoftwareFinTech

Serve as a senior individual contributor and technical cornerstone for fraud prevention. Develop AI-driven detection capabilities, guide fraud technology strategy, and partner with product, engineering, finance, and support teams to protect a high-volume business platform.

Responsibilities

  • Define the long-term technical roadmap for AI-first fraud detection
  • Design generative AI agents and LLM-powered workflows for forensic investigations
  • Develop machine learning models and graph-based heuristics to detect fraud rings and synthetic identities
  • Advise product and engineering teams on scalable safeguards for new payment features and expansion
  • Investigate and mitigate high-impact fraud attacks using Python and network analytics
  • Optimize SQL and Python environments and support real-time AI inference
  • Set technical standards for the fraud team’s data stack
  • Influence risk-reward decisions and advise senior leadership

Requirements

  • 5+ years of experience in fintech or payments fraud analytics
  • Experience scaling fraud programs in complex, high-volume environments
  • Proven experience with generative AI, LLMs, retrieval-augmented generation, agentic workflows, and machine learning
  • Advanced Python and SQL skills, including performance tuning, common table expressions, and window functions
  • Deep experience with graph databases and link-analysis techniques
  • Expertise in payment lifecycle risks including card-not-present, ACH, and RTP
  • Knowledge of fraud challenges in SaaS and marketplace sectors
  • Understanding of PCI DSS, Nacha rules, and emerging AI regulation in financial services
  • Advanced data visualization skills using tools such as Looker, Tableau, Omni, or Superset
  • Ability to communicate quantitative findings to executives and influence technical roadmaps

Nice to have

  • Experience scaling fraud programs in a marketplace, SaaS, or creator-economy environment
  • Bachelor’s or master’s degree in a quantitative field, or equivalent technical experience

Benefits

  • Competitive salary
  • Meaningful equity grants
  • Wellness programs
  • Family leave policies

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