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Sr Risk Manager, Lending, ABPL

LinkedIn Amazon Seattle, WA
Mid-Senior level Posted April 4, 2026 Job link
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Requirements
  • Experience managing competing priorities and using metrics to drive business decisions
  • Experience building cross-functional partnerships and influencing stakeholders across the organization to act without having a direct reporting relationship
  • Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
  • Experience in managing multiple, competing priorities simultaneously
  • 8+ years of experience in product management, program management, business operations, or data analytics roles
  • Experience managing complex, cross-functional programs from conception through delivery
  • Strong analytical skills with proficiency in SQL and data analysis tools (Excel, Python, R, or similar)
  • High attention to detail with a bias for action and willingness to dive deep to solve problems at root cause
  • Speak, write, and read fluently in Japanese at a business level or above (N1+)
  • Experience working with AI/ML tools, large language models, or generative AI applications
  • Background in building automated decision systems or working with machine learning models
  • Experience working with global teams across multiple time zones
Preferred Skills
  • Master's degree, or MBA in business, data science, public administration, finance, engineering, human resources or related field
  • Speak, write, and read fluently in Japanese at a business level or above (N1+)
  • Experience with financial services, payments or e-commerce
  • Familiarity with credit concepts, portfolio management, or financial risk principles
  • Experience building and scaling 0-to-1 products or programs
  • Demonstrated success driving innovation and experimentation in ambiguous environments
  • Experience working with AI/ML tools, large language models, or generative AI applications
  • Background in building automated decision systems or working with machine learning models
  • Experience working with global teams across multiple time zones
  • Curiosity about AI and enthusiasm for exploring how generative AI can transform knowledge work
Education
  • (Not required) – Bachelor's degree or above
  • (Not required) – Master's degree, or MBA in business, data science, public administration, finance, engineering, human resources or related field