Data Analyst, Credit Risk


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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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Enable Stripe’s growth and mitigate credit risk with modeling, data, and experiments

We’re working on making 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. Enabling the realization of this opportunity and simultaneously controlling our credit risk exposure, the Credit Risk team plays a critical role in the company’s financial health. 

We’re looking for an experienced data analyst to partner with the Credit Risk team as well as our Merchant Intelligence team to drive the use of data to measure and limit our credit risk, ensure high-quality decisions, and point towards future opportunities. The ideal candidate has experience in credit risk data analysis, thinks creatively about measurement that leads to actionable outcomes, and values rigor in experimentation. 

You will:

  • Work closely with the Credit Risk team to solve their most pressing challenges using data and insights
  • Focus on understanding the underlying needs of the Credit Risk team and working with them to design dashboards and metrics to address those needs
  • Use data to support the development of risk mitigation strategies and interventions while preserving and improving the user experience
  • Evolve our risk metrics, the datasets to support them, and the measurement of causal impact of initiatives to improve them
  • Effectively communicate the outcomes of your analysis to key stakeholders

You’d ideally have:

  • 3+ years experience in data analytics preferably related to credit risk
  • Degree in a quantitative field (e.g., Statistics, Economics, Math, Sciences, Engineering)
  • Experience and passion for metrics and dashboard visualizations 
  • Highly skilled at writing SQL to query relational databases; knowledge of R or Python and prior experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig/etc.) a plus
  • Ability to work cross-functionally, building and maintaining trust with internal stakeholders
  • Strong communication and presentation skills
Job perks/benefits: Startup environment
Job region(s): Europe
Job stats:  14  2  0
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