Play a major role in the creation, development, implementation, and ongoing improvement of our decision-making logic within our live production environment.
Conduct in-depth research into complex fraud patterns and emerging threats.
Utilizing vast and rich datasets to extract insights that drive actionable decisions to enhance the precision of our systems.
Developing new, innovative system components and models, along with refining and advancing our feature engineering processes.
Collaborate with a team of the industry’s leading researchers, data scientists, and software engineers to develop the next generation of Forter’s AI technology.
What you'll need:
A fast mind.
At least 2 years of experience in product-oriented data analytics/feature engineering/data science/research definition/hypothesis lead research.
Relevant academic background - MSc in STEM fields, such as Physics, Neuroscience, Biotechnology, etc.
A psychometric score above 700 (or equivalent, e.g. GMAT).
Extensive experience in working with data, preferably using scripting languages such as Python, R, or Matlab.
Strong verbal and written communication abilities - effectively articulating complex issues, designs, and concepts.
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)