remote
Analyst-Data Science - American Express
Data Scientist
Data Science Analyst focused on managing model risk for AI/ML models in credit and fraud analytics, ensuring compliance and excellence in a dynamic regulatory environment.
About the role
Key Responsibilities
- Assess and mitigate model risk for next‑generation AI/ML models used in credit and fraud analytics.
- Collaborate with model developers to embed risk controls and validation procedures throughout the model lifecycle.
- Conduct model performance monitoring, back‑testing, and documentation to meet internal and external regulatory standards.
- Analyze model outputs, identify bias or drift, and recommend remediation strategies.
- Prepare concise risk reports and presentations for senior stakeholders and compliance teams.
Requirements
- 0‑2 years of experience in credit or fraud analytics, with a strong analytical mindset.
- Proficiency in Python and data manipulation libraries (pandas, NumPy).
- Understanding of machine learning concepts and model validation techniques.
- Knowledge of regulatory frameworks affecting model risk (e.g., Basel III, FFIEC).
- Excellent communication skills and ability to translate technical findings into business insights.
Skills
pythonmachine learningdata analysis