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 Senior Credit Risk Strategy and Analytics professional. The role involves shaping Stripe's credit policy by leveraging data to drive risk and underwriting initiatives while collaborating with cross-functional teams to enhance product development and risk assessment processes.
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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