Credit Risk Strategist, Risk Foundations
Job in
Toronto, Ontario, M5A, Canada
Listing for:
Stripe
Full Time
position
Listed on 2026-01-13
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Data Science Manager, Business Systems/ Tech Analyst
Job Description & How to Apply Below
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
The Risk Foundations team is responsible for helping design the systems and processes that enable Stripe to manage merchant Credit risk accurately and partner closely with Stripe's Engineering, Data Science, Product, and Operations teams to evolve and up-level our end-to-end ecosystem of credit risk management tooling and capabilities. The team is composed of data-driven systems-thinkers, strategists, and curious problem solvers who are passionate about solving complexity you are excited to shape the infrastructure that powers safe, sustainable growth for millions of businesses, we encourage you to apply!
What you’ll do
Stripe handles billions of dollars every year for businesses around the world, and the Risk team plays a critical role in the company’s financial and partnership success. As a Strategist on the Risk Foundations team, you will help manage a rapidly growing merchant portfolio by guiding Stripe’s credit strategy and devising growth-friendly solutions that reduce overall credit risk. This is a high impact role that involves cross-functional partnership with Data Science, Engineering, Product, and Operations.
Responsibilities
Support the credit risk management efforts on a portfolio of millions of new and existing small to enterprise-sized businessesCollaborate with Engineering, Product, and Data Science to develop an LLM agent driven system for automating decisioning workflows, augmenting investigations, generating explainable insights, and enabling data retrieval and synthesis across internal and external sourcesLeverage your analytical skills to provide credit risk recommendations, deliver insights, and support strategic business decisionsRefine tools and processes to help the group deliver on key performance indicatorsAnalyze account activity and monitor portfolio trends to identify opportunities for Stripe to reduce potential credit lossesCollaborate with cross-functional teams to scale tailored credit risk management techniques across different geographies, industries, and business modelsHelp drive a risk-centric approach to innovating Stripe’s products and infrastructureChallenge the payments industry status quo to help enable innovative businesses to flourish onlineWho you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
6+ years of relevant professional experienceStrong technical expertise, including intermediate SQL skills and direct experience in applying these skills to provide insights and drive recommendationsSelf-starter who can work independently and can proactively identify gaps, create solutions and drive adoption and scaleDemonstrated curiosity and problem solving mindsetPassion for tackling complex problems using data and identifying root causeDecisive, yet open to learning: you will make many critical decisions every day impacting large numbers of merchants. You are willing to make these difficult decisions and quickly learn and iterate from these experiences.Understanding and empathetic to the challenges of setting up a new business:
You will thoughtfully balance scaled enforcement decisions with user experience.Analytical:
You are passionate about data analysis and can frame business decisions and tradeoffs effectively through quantitative analysis and visualization.An excellent communicator and team player:
You are able to convey complex ideas succinctly and work effectively across teams.Effective in managing projects:
You have demonstrated…
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