Data Analyst, Treasury

Come help us build best-in-class models to measure, mitigate, and optimize Stripe's financial risks!

Stripe is building world class treasury management capabilities, with the goal of being fully automated and supremely lean.  We're looking for a motivated data science professional to join our fast growing team.  You will help us to build integrated treasury systems with proprietary data models, which will include assessments of our key performance and risk metrics.  The output from these models will be leveraged in our day to day business decisions including liquidity management, financial risk management, trading, and capital management.  In doing so, you will work closely with our Treasury, Finance, Accounting, Finance Systems and Engineering teams to develop the systems and analytics necessary to measure our risks and inform our business decisions. You will also work closely with our Product and Sales teams to shape our understanding of how Stripe is performing as a business, as well as what our best opportunities are for continued growth. 

You will:

• Develop, maintain and debug all business metrics for the Treasury Finance org
• Design, build and maintain business intelligence infrastructure to improve availability and usability of data and insights
• Build scalable automation solutions utilizing SQL, Spark, and visualization tools including Tableau
• Deliver insights to improve business decisioning across complex data flows spanning 25+ countries, 130+ currencies, and thousands of users
• Develop Key Risk Indicators (KRI's), ensuring that we monitor and mitigate the financial impact of our risks
• Ensure that our financial risk management is appropriate for the scale and complexity of our business
• Work with Product and Sales to analyze new business opportunities, share insights, and assess their risk profile and to inform our strategy and pricing
• Work with our Finance, Risk, and Engineering teams to have a company-wide assessment of Stripe’s market risk exposure. Facilitate the determination of the company's risk appetite, tolerances, and limits

Our ideal candidate will have:

• 5+ years of experience in a Business Intelligence Engineering, Data Engineering, Data Analyst and/or Data Science role, with a focus on building data pipelines and/or analyzing large data sets to solve problems
• Bachelor’s degree in Mathematics, Statistics, Engineering, or a related technical field
• Expert knowledge of SQL
• Prior experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Pig/etc.)
• Prior experience with visualization using Tableau or other visualization tools
• The ability to work with extremely large data sets
• An inclination to solve problems systematically via infrastructure and automation
• Flexibility with changing requirements in an evolving and fast-paced environment
• Solid business acumen and experience in synthesizing complex analyses into interpretable content
• Strong communication skills and a track record of building and leveraging cross-functional relationships with technical and non-technical partners
• A builder's mindset with a willingness to question assumptions and conventional wisdom

To apply:

• A resume and LinkedIn profile