F

Forter

Fraud prevention for online retailers

Decision Scientist

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

About the Job

Requirements

  • Score above 700 on a psychometric assessment or equivalent, such as the GMAT.
  • Have at least four years of hands-on experience in quantitative hypothesis-driven research, algorithmic development, or product development, or hold an MSc or PhD in a quantitative field such as Physics, Economics, Neuroscience, Biotechnology, or Computer Science.
  • Demonstrate high achievement in an academic, professional, military, or other context.
  • Have strong analytical and logical reasoning skills and the ability to break down and solve complex problems.
  • Have extensive experience working with large-scale datasets using scripting languages such as Python, R, or MATLAB.
  • Be able to clearly explain complex technical ideas and research outcomes to a wide range of audiences.
  • Demonstrate curiosity and the ability to understand systemic behaviors and adversarial tactics.
  • Be proactive and results-driven, and able to work independently within a collaborative team.
  • Have experience building with AI, including agentic workflows, applications, or automations, and be able to discuss an example built.
  • Be enthusiastic about and comfortable using agentic tools.

Responsibilities

  • Invent, design, implement, and continuously refine the core decisioning logic and models used in live production systems.
  • Research complex fraud patterns, adversarial behaviors, and emerging threats.
  • Use diverse datasets to generate actionable insights, build 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 AI-driven technology.
  • Use agentic tools such as Claude Code to improve existing systems and processes and build new ones.

Desired Qualifications

  • Have deep familiarity with machine-learning concepts and hands-on experience applying them.
  • Have 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