Data Scientist, Fraud

Stripe
Toronto
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Driving impact","Cross-functional collaboration","Attention to detail","Business acumen"]

Build and improve fraud detection and loss management models for Stripe’s Fraud Data Science team. Use supervised and unsupervised machine learning, statistical modeling, causal inference, optimization, and experimentation to solve high-impact risk problems. Collaborate with Fraud Engineering and Risk Operations to move models from research to production, and use data-driven insights to shape fraud strategy across the business.

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Stripe
Stripe
22 hours ago

Data Scientist, Fraud

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Last checked: 3 hours agoStatus: Live

Job Summary

Build and improve fraud detection and loss management models for Stripe’s Fraud Data Science team. Use supervised and unsupervised machine learning, statistical modeling, causal inference, optimization, and experimentation to solve high-impact risk problems. Collaborate with Fraud Engineering and Risk Operations to move models from research to production, and use data-driven insights to shape fraud strategy across the business.
Location: Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and improve models that power Stripe’s fraud detection and loss management systems
  • •Move models from research to production in collaboration with Fraud Engineering and Risk Operations
  • •Apply machine learning, statistical modeling, causal inference, optimization, and experimentation to risk problems
  • •Surface data-driven insights that shape fraud strategy across the business
  • •Own parts of the fraud and loss modeling stack, including detection and classification through loss and risk modeling

Key Requirements

  • •PhD with 1-3 years, MS or MA with 2-6 years, or BS or BA with 4-8 years of data science or quantitative modeling experience
  • •Experience with Fraud, Risk or Financial Crimes
  • •Proficiency in SQL and a computing language such as Python or R
  • •Experience working with cross-functional teams to deliver results
  • •Ability to communicate results clearly and manage multiple projects with high attention to detail
Experience:Fraud
Skills:CommunicationDriving impactCross-functional collaborationAttention to detailBusiness acumen
Languages:English
Tech Stack:SQLPythonRSparkHadoop

Company Brief

Stripe
Provides payment processing APIs and financial infrastructure for internet businesses. Powers online payments for millions of companies from startups to Fortune 500s.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2010
Glassdoor
Glassdoor: 4.2
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