Head of Risk Data Science

New York, Seattle, Remote (AMER)

Full Time Executive-level / Director
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Online payment processing for internet businesses. Stripe is a suite of payment APIs that powers commerce for online businesses of all sizes, including fraud prevention, and subscription management.
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Generate insights and impact from data

We are working to make the global financial system programmable. This is one of the largest opportunities for impact in the history of computing, on par with the rise of modern operating systems. A very large part of our endeavor is to manage risk - both for Stripe and for our users to enable safe expansion and delivery of products while maintaining a seamless user experience.

We’re looking for an experienced, data science leader who can build and inspire a team as well as lead the development of impactful data products and insights to influence the development and growth of products like Stripe Radar and Identity, manage our credit and fraud risk, and optimize the use of the company's capital while enabling our ambitious growth goals. If you are excited about building new products on Stripe’s platform, dream about credit and financial modeling, energized by designing strategic metrics and causal analyses, then we want to hear from you. 

You will:

  • Partner closely with product, engineering, treasury, and risk teams to develop innovative forecasting, credit, and risk models, leveraging Stripe’s proprietary data, to support new financial products services
  • Work with your team to design strategic metrics for our new products and identify causal impacts (through experimentation or causal inference methods).
  • Optimize our financial products through machine learning, mathematical optimization, or experimentation
  • Shape and influence our data models and instrumentation to generate insights and develop new data products and models
  • Lead, mentor, and grow managers, data scientists, and data analysts, creating a healthy and high-performing team
  • Recruit great data scientists and data analysts, in collaboration with Stripe’s recruiting team
  • Contribute to Data Science org-wide initiatives as part of the Data Science management team

You’d ideally have:

  • 8+ years of data science experience, including at least 5+ years of management experience including managing other managers.
  • A PhD or MS in a quantitative field (e.g., Statistics, Economics, Sciences, Engineering)
  • Expert knowledge of a scientific computing language (such as R or Python) and SQL
  • Expertise in statistics and experimental design
  • Ability to communicate results clearly, including with senior executives
  • Successfully built a team, defined its mission, and executed on its goals
Job region(s): Remote/Anywhere North America
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