AnthropicSan Francisco, CA | Washington, DC$265k-$295kjust now
AmazonPosted 1mo ago
Credit Risk Manager, Amazon Payments at Amazon scores 35 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
The ideal candidate possesses solid credit risk management experience, strong analytical skills, and a proven track record executing credit strategies end-to-end. You must be able to thrive in an entrepreneurial environment and not be hindered by ambiguity or competing priorities.
Key job responsibilities
- Develop, implement, and monitor credit policies across the customer lifecycle (acquisition, activation, limit management, and maintenance), ensuring alignment with risk appetite and business goals.
- Analyze portfolio performance leveraging data-driven insights to identify trends, risks, and opportunities for optimization across key metrics (approval rates, FPD, loss rates, Incremental profitability and vintage curves).
- Design and execute A/B tests and champion/challenger experiments to continuously improve underwriting rules, decision models, and segmentation strategies.
- Support collections and recovery strategy execution, including segmentation logic, collection rules, and performance tracking of internal and external collection efforts.
- Build and maintain risk dashboards and reporting cadences, translating complex data into actionable narratives for senior leadership and stakeholders.
- Partner with Data Science, Product, Engineering, and Finance teams to embed risk controls into customer journeys, ensuring scalable and automated decision-making.
- Identify signs of macroeconomic deterioration or improvement that may impact portfolio performance and propose strategies with clear trade-off analysis.
- Support the development of credit risk frameworks, including risk appetite definition, governance documentation, and policy governance routines.
About the team
Brazil Payments is part of the International Emerging Stores Payments team and focuses on supporting the launch of new payment and financial products to our customers in Brazil.
Basic qualifications
- Bachelor's degree or equivalent
- Speak, write, and read fluently in English at C1 level or above
Preferred qualifications
- Deep expertise in credit underwriting, collections strategy and fraud prevention across consumer lending products in Latin American markets, particularly Brazil.
- Proven track record designing and implementing credit risk frameworks that balanced growth targets with loss mitigation in high-growth environments.
- Strong proficiency in SQL and at least one analytical tool (SAS, Python, or R)
- Proven ability to analyze large datasets and translate findings into actionable credit strategies
- Familiarity with machine learning models applied to credit scoring or segmentation
- Knowledge of Brazilian credit bureau data (Serasa, SPC, Boa Vista)
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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