Note: The job is a remote job and is open to candidates in USA. Stripe is a financial infrastructure platform for businesses, and they are seeking a Credit Risk Strategy and Analytics professional to shape the future of their credit policy. This role involves driving changes to the risk and underwriting framework, leveraging data to make recommendations, and collaborating with various teams to enhance product development.
Responsibilities
- 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
Skills
- 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
- 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
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