Stripe is hiring a Credit Risk Strategy and Analytics in 3130 Risk & Reward — Canada. The overview below is synthesized from the employer posting on stripe.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
Who we are
About Stripe
Company context from the listing:
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.
About the team
Company context from the listing:
The Capital team is responsible for managing the end-to-end risk strategy for Stripe's lending product. The team is based in the US and Canada, and is composed of curious, driven, and analytical individuals who are passionate about using their skills to shape the future of Stripe.
What you’ll do
Day-to-day scope for the Credit Risk Strategy and Analytics as described in the posting:
As a key member of the Capital team, you will have the opportunity to shape the future of Stripe's credit policy by driving meaningful changes to the risk and underwriting framework. You will leverage Stripe's vast data assets to formulate your recommendations and work closely with our partners and, where applicable, leverage third-party data.
Responsibilities
Day-to-day scope for the Credit Risk Strategy and Analytics as described in the posting:
- Architect and implement credit policies based on Stripe's proprietary data and selected industry data to target, price, and size capital products.
- Utilize your analytical and technical skills to provide credit risk recommendations, deliver insights, and support strategic business decisions.
- Collaborate with cross-functional teams, such as Product, Data Science, Engineering, and Capital Markets to shape new product development across different geographies and industries.
- Incorporate third-party data, including bureau, bank account, financial statements, and less traditional data, into our credit assessment.
- Analyze account activity and monitor portfolio trends to identify opportunities for Stripe to reduce potential credit losses.
- Help scale risk processes by working with partners to design and optimize outsourced workflows.
Who you are
Experience and skills the team lists as required:
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.
Minimum requirements
Experience and skills the team lists as required:
- 5+ years of experience in credit analysis and underwriting.
- Bachelor's degree in finance, economics, statistics, or a related field.
- Experience in risk management, financial lending, or core credit risk management function.
- Strong analytical skills and a rigorous, data-driven approach to problem-solving.
- Experience working with both internal and external stakeholders and the ability to closely. manage expectations and deliverables in a timely manner.
- Ability to thrive in an unstructured and fast-moving organization.
- Strong technical expertise, including SQL, excel, google sheets.
- Self-starter who can work independently.
Preferred qualifications
Experience and skills the team lists as required:
- Experience with quantitative tools such as Python, R, or Stata.
- Master's degree in finance, economics, statistics, or a related field.
- Superior communication and relationship management skills.
- Experience with credit scoring models.
- Experience working with machine learning teams.
- Ability to communicate results clearly with a focus on driving impact.
Build a standout application
For the Credit Risk Strategy and Analytics at Stripe, reviewers look for concise evidence over buzzwords. Mirror the language of the posting sparingly, quantify support or delivery outcomes, and show how you handled ambiguity, time-zone collaboration and user empathy. Keep your resume to impact, keep your cover note to one page, and link to artifacts — tickets resolved, docs shipped, dashboards owned — that prove you can operate in a fast-moving Web3 team. Prepare to discuss a time you turned a confusing user report into a clear fix and how you measure quality in support and operations.
Web3 hiring values reliability: on-time follow-through, clear writing, and a track record of improving runbooks and tooling. Treat the application as a work sample. For interviews, be ready to walk through how you prioritize across time zones, handle a difficult user, and decide when to escalate versus resolve directly. Show how you document decisions so the next teammate benefits.
In a distributed Web3 org, trust builds through written clarity. Use the cover note to demonstrate it.