AI Researcher - American Express

Key Responsibilities

• Design, prototype, and validate machine learning models for credit and fraud risk assessment.
• Collaborate with cross‑functional teams to translate business problems into data‑driven solutions.
• Conduct research on novel algorithms, including deep learning and graph‑based methods, to improve detection accuracy.
• Deploy models into production environments, ensuring scalability, robustness, and compliance with regulatory standards.
• Communicate findings and recommendations to stakeholders through clear visualizations and technical reports.

Requirements

• Ph.D. or Master’s in Computer Science, Statistics, or related field with strong research background.
• Proven experience in Python, machine learning libraries (scikit‑learn, TensorFlow, PyTorch) and SQL.
• Deep understanding of fraud detection, credit risk modeling, and feature engineering.
• Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
• Strong written and verbal communication skills for presenting complex ideas to non‑technical audiences.