Invent, design, implement, and refine our system’s core decisioning logic and models in a live production environment.
Conduct in-depth research into complex fraud patterns, adversarial networks, and emerging global threats.
Leverage rich datasets to derive actionable insights, develop new system components, and advance our feature engineering processes.
Develop, prototype, and automate new tools and processes to enhance the precision and scale of our systems.
Collaborate with a world-class team of Data Scientists, Analysts, Researchers, and Engineers to develop the next generation of Forter’s AI technology.
What you'll need:
Relevant experience (one of the below)
At least 2 years of hands-on experience in quantitative research/data science, or a related role involving production-oriented data analytics and hypothesis-led research.
MSc or PhD in a quantitative field (e.g., Physics, Economics, Neuroscience, Biotechnology, Computer Science, etc.).
Strong analytical and logical reasoning skills with a proven ability to dissect and solve highly complex problems.
Extensive experience working with large datasets using scripting languages (e.g., Python, R, or Matlab).
Excellent communication skills – ability to articulate complex technical concepts and research findings to diverse audiences.
Bonus points for:
Experience with SQL and big data technologies (e.g., Spark).
Deep familiarity with machine learning concepts and practice
Risk / Intelligence experience
Trust is backed by data – Forter is a recipient of over 10 workplace and innovation awards, including:
Great Place to Work Certification (2021, 2022, 2023, )
Fortune’s Best Workplaces in NYC (2022, 2023 and )
Forbes Cloud 100 (2021, 2022, 2023 and )
#3 on Fast Company’s list of “Most Innovative Finance Companies” ( )
Anti-Fraud Solution of the Year at the Payments Awards ( )
SAP Pinnacle Awards “New Partner Application Award” (2023)
Fintech Breakthrough Awards – Best Fraud Prevention Platform (2023)