F

Forter

Fraud prevention for online retailers

Decision Analyst

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeTel Aviv-Yafo, Israel

About the Job

Requirements

  • A psychometric score above 700 or an equivalent measure, such as the GMAT, is required as a baseline measure of structured reasoning and analytical speed.
  • A record of high achievement in an academic, professional, military, or other setting is required.
  • Strong analytical and logical reasoning skills, including the ability to break down and solve highly complex problems, are required.
  • A strong technical orientation and comfort learning new tools and technologies are required; experience with Python, SQL, or R is advantageous but not required.
  • The ability to clearly explain complex technical ideas and research outcomes to a wide range of audiences is required.
  • Natural curiosity and the ability to understand systemic behaviors and adversarial tactics are required.
  • A proactive, results-driven mindset and the ability to work independently within a collaborative team are required.
  • Experience building with AI, including agentic workflows, apps, or automations, is required; candidates should bring an example they built and can explain, and should be enthusiastic about and comfortable with agentic tools.

Responsibilities

  • Invent, design, implement, and continuously refine the core decisioning logic and models that run in Forter’s live production systems.
  • Research complex fraud patterns, adversarial behaviors, and emerging threats.
  • Leverage diverse datasets to generate actionable insights, build new system components, and advance feature engineering efforts.
  • Use agentic tools such as Claude Code to develop automated tools and processes that improve system accuracy, scalability, and efficiency.
  • Collaborate with engineers, product managers, and business stakeholders to build Forter’s next-generation AI-driven technology.

Desired Qualifications

  • Experience with SQL or Python.
  • Familiarity with machine learning concepts.
  • A background in risk analysis, intelligence, or adversarial research.

About the Company

Forter

Fraud prevention for online retailers

Forter provides a suite of fraud and abuse prevention services for online retailers in a B2B model. It offers identity protection, fraud management, abuse prevention, payment optimization, and chargeback recovery to secure online transactions and protect revenue. The product works in real time to make approve/decline decisions, prevent unauthorized access and fraudulent purchases, detect abuse by resellers, coupon and refund abuse, optimize payment flows to improve trust with banks and PSD2 compliance, and automate chargeback disputes. Forter differentiates itself by delivering an end-to-end, cloud-based platform tailored for ecommerce that combines identity protection with fraud and abuse controls and payment optimization, aiming to reduce fraud, cut chargebacks, and sustain high conversion. Its goal is to help online businesses grow their revenue while maintaining a smooth customer experience by minimizing fraud and abuse.

Company size
501-1,000
Company stage
Series F
Total funding
$528M
Headquarters
New York City, New York
Founded
2013

Recently Posted Jobs

Explore more opportunities at Forter

See more jobs