Senior Data Scientist: Credit Risk & Model Governance

Amazon Inc.; Ciudad de México; Sur place; MXN 1 200 000 - 2 000 000; Plein temps

Résumé du poste

Amazon is building a new risk analytics function in Mexico City to lead the development, validation, and governance of a full suite of risk models for a high-growth payments product. You will start with external data and expert rules, transitioning to custom models as the portfolio matures, and will own the end-to-end model roadmap from origination to recovery.

You will define standards, drive monitoring, and collaborate with risk, technology, and finance teams to scale the function while

Qualifications

• 5+ years of experience with data querying languages and statistical/mathematical software
• 4+ years of data scientist experience in credit/risk or related domains
• Experience with multinomial logistic regression models

Responsabilités

• Own and drive the model roadmap across origination, behavioral, delinquency, collections, recovery, and fraud models
• Lead end-to-end model lifecycle: development, validation, approval, deployment, monitoring, recalibration, retirement
• Establish development standards, documentation, versioning, and governance frameworks
• Collaborate with risk, engineering, finance, and product teams to scale the risk function
• Translate experiment results into model refinement priorities and performance packages

Connaissances

SQL

Python

Multinomial logistic regression

Outils

AWS QuickSight

Tableau

Description du poste

Amazon is building a new risk analytics function in Mexico City to lead the development, validation, and governance of a full suite of risk models for a high-growth payments product. You will start with external data and expert rules, transitioning to custom models as the portfolio matures, and will own the end-to-end model roadmap from origination to recovery.

You will define standards, drive monitoring, and collaborate with risk, technology, and finance teams to scale the function while