Fraud Data Scientist

Position: Fraud Data Scientist at Stripe
Join the Fraud Data Science team at Stripe to enhance payment security and trust. As a Data Scientist, leverage your skills in data analysis and model building to tackle financial crimes.

At Stripe, our Data Science team is fundamental to driving key insights and developing models that enhance our fraud and loss management systems. This role calls for someone who is passionate about using supervised and unsupervised learning techniques to combat financial crime effectively. Collaborate with cross-functional teams ensuring the deployment of robust fraud detection mechanisms.

Key Responsibilities:

• Build and improve models for fraud detection

• Collaborate with Fraud Engineering and Risk Operations

• Apply statistical modeling to address fraud challenges

• Conduct experiments to inform fraud strategy

• Deliver actionable insights from complex analyses

Requirements:

• PhD with 1-3 years, or MS/MA with 2-6 years experience

• Proficiency in SQL and Python or R

• Experience in Fraud, Risk, or Financial Crimes

• Ability to work in cross-functional teams

• Strong communication and project management skills

Contribute to Stripe's mission by safeguarding financial integrity through innovative data science solutions.
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