Data Analyst, Credit Risk

US Remote

Applications have closed
Stripe logo


Stripe is a suite of APIs powering online payment processing and commerce solutions for internet businesses of all sizes. Accept payments and scale faster.

View all employer listings

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

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. 

What you’ll do


  • 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

Who you are

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. 


Minimum requirements

  • 5+ 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


* Salary range is an estimate based on our salary survey at

Tags: Credit risk Data analysis Data Analytics Data pipelines Economics Engineering Hadoop Pipelines Python R Spark SQL Statistics

Perks/benefits: Career development

Regions: Remote/Anywhere North America
Country: United States
Job stats:  38  14  0
Category: Analyst Jobs

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.