Senior Fraud Analyst (Fintech)

TL;DR

Senior Fraud Analyst (Fintech/AI): Developing and optimizing AI-driven fraud detection systems to protect the hirify.global community with an accent on Generative AI, LLMs, and graph-based analytics. Focus on designing autonomous fraud detection ecosystems, automating forensic investigations, and building sophisticated ML models to mitigate complex fraud rings.

Location: hirify.global is based in San Francisco and Tel Aviv

Company

hirify.global is a leading AI-powered business management platform designed to help service-based independent professionals attract leads and manage payments efficiently.

What you will do

• Define the long-term technical roadmap to transition hirify.global toward an AI-first, autonomous fraud detection ecosystem.
• Design and implement Generative AI agents and LLM-powered workflows to automate complex forensic investigations.
• Develop and prototype sophisticated ML models and graph-based heuristics to identify collusion, synthetic identities, and fraud rings.
• Act as the primary technical consultant to Product and Engineering to ensure new payment features are built with AI-driven safeguards.
• Conduct high-stakes forensic analysis using Python and network analytics to deconstruct and mitigate large-scale fraud attacks.
• Optimize the fraud team's technical stack, focusing on SQL/Python environments and real-time AI inference infrastructure.

Requirements

• 5+ years of experience in fintech or payments fraud analytics as a high-level individual contributor.
• Proven expertise in leveraging Generative AI, LLMs (RAG, agentic workflows), and Machine Learning for real-world risk problems.
• Mastery of Python for data science and automation, and SQL for performance tuning and complex queries.
• Deep experience with graph databases (Neo4j, TigerGraph) and link-analysis techniques.
• Expert knowledge of the payments lifecycle (CNP, ACH, RTP) and fraud challenges within SaaS and marketplace sectors.
• Solid understanding of PCI DSS, Nacha rules, and AI regulatory landscapes in financial services.

Nice to have

• Prior experience scaling fraud programs in a marketplace, SaaS, or creator-economy context.
• Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Economics.

Culture & Benefits

• Competitive salary and meaningful equity based on merit.
• Wellness programs and exceptional family leave policies.
• Mission-driven environment with a focus on people, ownership, and a growth mindset.
• Culture that encourages out-of-the-box thinking and innovation ("fail fast and often").