Senior Fraud Analyst
Tel Aviv
HoneyBook
Here is the gist:
HoneyBook is the leading AI-powered business management platform for service-based business owners. Designed to enhance—not replace—independent professionals, HoneyBook’s AI-powered tools help businesses attract leads, connect with clients, book projects, and manage payments more efficiently. With AI seamlessly integrated into every workflow, entrepreneurs can focus on their craft while scaling their businesses with confidence. Since its founding in 2013, HoneyBook has powered over 25 million client relationships and processed more than $12 billion in transactions, helping independent businesses grow faster and smarter.
Our culture is built on five core values that inform everything we do. We encourage collaboration, feedback, ownership, and have a growth mindset. We know experience comes in many forms, some visible on your resume, others not. No one candidate will be a 100% perfect match to our description, so if you thrive in a fast-paced, intellectually-charged environment and have similar experience to what we are looking for, we encourage you to apply.
We are looking for a Senior Fraud Analyst with a passion for solving complex puzzles by investigating reactively and proactively data and live attacks. The solutions and insights you find will turn into proactive algorithms that make our community safer.
Here are a few of the things you'll do:
- Discover and effectively communicate unique, actionable insights to prevent and detect attacks using our solution.
- Extract data from internal systems, identify the correct metrics needed, create reports and analyze them to understand key trends.
- Translate trends to prevention algorithm requirements.
- Be the point of escalation to fraud investigators.
- Proactively initiates and leads fraud‑risk projects from ideation through deployment, coordinating stakeholders across product, data, and engineering.
Interested? Here's what we're looking for:
- 5+ years in payments / fintech fraud analytics or related risk science roles, with proven ownership of high‑impact programs in a data‑rich, large‑scale environment.
- Expert SQL (window functions, CTEs, performance tuning) and strong programming in Python or R for data wrangling, statistical analysis, and model prototyping.
- Deep knowledge of card‑not‑present (CNP) fraud typologies, ACH / RTP risk, chargeback management, and friendly fraud mitigation.
- Demonstrated ability to translate complex quantitative findings into executive‑level insights and influence roadmaps across product, engineering, finance, and support.
- Advanced data‑visualization skills (Looker, Tableau, Superset, or equivalent) with a portfolio of self‑service dashboards adopted by the company‑wide.
- Exceptional communication skills in English—able to brief C‑suite, advise legal/compliance, and write crisp documentation.
- Leadership & mentorship track record: coached analysts, drove hiring, set career ladders, and fostered a culture of curiosity and accountability.
Regulatory fluency in PCI DSS, Nacha rules, Reg E/Z, and relevant US/state fraud‑reporting requirements.
Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field. - Experience in building statistical models- Advantage.
- Experience of developing and maintaining ML Models- Advantage.
- Prior experience scaling fraud programs in a marketplace, SaaS, or creator‑economy context - Advantage.
- Familiarity with graph databases (Neo4j, TigerGraph) and network‑analytics techniques for collusion detection- Advantage.
- Working knowledge of Generative AI / LLM‑based tooling for analyst workflows and fraud pattern discovery- Advantage.
The good stuff:
Mission-driven: You'll be joining more than just another startup - our members are at the heart of everything we do.
Impact: We move quickly and encourage every employee to push the envelope. Our best ideas come from out-of-the-box thinking and innovation; be ready to fail fast and often!
Compensation: We offer a competitive salary + meaningful equity based on merit.
Benefits + Perks: From wellness programs to exceptional family leave policies, the health and happiness of our employees is foremost.
Our core values:
People come first: We prioritize people as we explore opportunities and work through challenges.
Raise the bar: We push for greatness—for ourselves, each other, and our members.
Own it: Trust and ownership let us make decisions with confidence.
We love what we do: We bring passion to our work and love what we create for our members.
Keep it real: Authenticity, respect, and transparency are at our core.
The opportunity at HoneyBook is huge. Our primary customers today are creative businesses that generate $150B in revenue per year in the US. Founded in 2013, HoneyBook is based in San Francisco and Tel Aviv, has raised $498M, and is funded by Tiger Global Management, Norwest Venture Partners, Aleph, Hillsven Capital, OurCrowd, Durable Capital Partners LP, Vintage Investment Partners, Battery Ventures, Citi Ventures, Zeev Ventures, and 01 Advisors.
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Applicant Information
When you apply for a job or an independent contractor/agent position with HoneyBook, we collect the information that you provide in connection with your application. This includes name, contact information, professional credentials and skills, educational and work history, and other information that may be included in a resume or provided during interviews (which may be recorded). This may also include demographic or diversity information that you voluntarily provide. We may also conduct background checks and receive related information.
We use applicants’ information to facilitate our recruitment activities and process applications, including evaluating candidates and monitoring recruitment statistics. We use successful applicants’ information to administer the employment or independent contractor relationship. We may also use and disclose applicants’ information (a) to improve our Services, (b) as otherwise necessary to comply with relevant laws, (c) to respond to subpoenas or warrants served on HoneyBook, and (d) to protect and defend the rights or property of HoneyBook or others.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Economics Engineering Finance FinTech Generative AI LLMs Looker Machine Learning Mathematics ML models Neo4j Privacy Prototyping Python R SQL Statistics Superset Tableau
Perks/benefits: Career development Competitive pay Equity / stock options Health care Startup environment Transparency Wellness
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