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Are you passionate about empowering millions of customers to access credit responsibly and with confidence Do you thrive on solving complex risk challenges that directly shape lending decisions at scale Come join us at Amazon 1P Lending - Risk! Our team is at the heart of Amazon's mission to make credit accessible, responsible, and seamless for customers across the globe. We design and manage the credit risk frameworks that power lending products loved by millions - from Pay Later to EMI solutions and beyond.
We are looking for a strategic and analytical Associate Vice President to join our Risk Management Team, with a strong understanding of risk management principles and proficiency in data management and manipulation tools such as SQL, Python, and Excel.
You will design and implement scalable risk governance frameworks that engage with customers throughout their loan lifecycle - from acquisition to customer management - enabling lending operations to run efficiently at scale within a defined risk appetite. This is a high-visibility role that requires strong operational rigor, cross-functional collaboration with Product, Collections, Finance, Tech, Compliance, and Legal teams, and the ability to communicate clearly to a variety of internal and external audiences.
Key job responsibilities
. Own end-to-end delivery of Risk Initiatives aligned to broader Team objectives.
. Design, maintain, and update risk mitigation policies and controls across all customer interactions - onboarding journey, credit and fraud underwriting, and customer lifecycle management
. Create and own a lending portfolio governance framework, including data models and reports, leveraging SQL, Python, Excel, and dashboarding tools
. Collaborate with cross-functional teams to identify potential risks and propose solutions, maintaining risk appetite and ensuring adherence to regulatory requirements
. Communicate complex operational findings and strategic recommendations clearly to a variety of internal and external audiences, including senior leadership
About the team
The Credit Risk team develops and maintains all policies pertaining to credit underwriting of customers seeking a loan. They also manage a customer's end to end credit experience from loan disbursal strategy to collections strategy. They also work with the data science teams of risk management Machine Learning models that are incorporated in the policies as well as the product management teams to customize the product from a lending point of view.
- 5+ years of data analysis experience
- 2+ years of working cross functionally with tech and non-tech teams experience
- Bachelor's degree
- Experience in advanced data analysis using Excel, Python, or SQL
- 2+ years of experience defining and implementing process and policy improvement initiatives that impact credit & fraud risk, using data and metrics
- Bachelor's degree in Finance, Economics, Statistics, Business, or a related field
- 2+ years of risk management experience, specifically in unsecured lending such as Personal Loans, credit cards, consumer durable financing, etc. within the consumer lending category
- . 1+ year of experience driving end-to-end consumer lending portfolio management and stakeholder management
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Job ID: 148573075
Skills:
Ml, Sql, Python, vector search, embeddings, Generative AI, fine-tuning, data-intensive systems, Ai, entity extraction, prompt engineering, Evaluation, text2sql, LLM workflows, full-stack development, RAG pipelines, backend integration
Skills:
Jira, Sql, Pd, Agile project execution, ead, Credit Risk Models, FIRB frameworks, lgd, SCCL reporting
Skills:
Ms Excel, Data Management, Agile, Sql, Testing, Investment Banking, Credit Risk Metrics, Data Analysis, Capital Markets
Skills:
Power Bi, Power Automate, Data structures, Advanced Excel, Data Quality, Python, Normalization, Reporting controls
Skills:
Python, pre post trade analytics, portfolio optimization models, LLM-based productivity tools, machine learning models, q kdb programming, market microstructure research
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