Data Science Analyst

About the role

As a Data Science Analyst in American Express' Model Risk Management Group, you will help safeguard the company’s AI/ML models by overseeing risk, improving model performance, and ensuring regulatory compliance. The role offers strong mentorship, well‑being support, and ample opportunities to grow technical and leadership skills while contributing to high‑impact financial products.

Responsibilities

• Provide independent oversight of enterprise‑wide AI/ML models used for marketing, credit, fraud detection and other risk domains.
• Perform gap assessments and build robust frameworks to tighten model risk controls and meet regulatory standards.
• Research and prototype new modeling techniques to boost business outcomes and model accuracy.
• Communicate findings and recommendations to senior leadership, model committees and cross‑functional partners.
• Collaborate with data engineering and business teams to translate analytical insights into actionable solutions.
• Maintain a focus on long‑term shareholder value while adapting to evolving model development practices.

Eligibility

• Master’s level education – MBA or a Master’s degree in Economics, Statistics, or a related quantitative field from a top‑tier institute.
• Strong analytical mindset with the ability to manage projects and work across functions.
• Excellent verbal, written and interpersonal communication skills.
• Ability to meet tight deadlines and adapt to changing priorities.

Skills

• Proficiency with at least one data‑manipulation tool such as Python, R, Java, SQL or SAS.
• Hands‑on experience in data science, machine learning and AI techniques including supervised/unsupervised learning, deep learning, reinforcement learning, and statistical modeling.
• Familiarity with advanced algorithms like Random Forest, Gradient Boosting, Neural Networks, Bayesian models, and text mining.
• Solid understanding of statistical concepts and quantitative problem‑solving.
• Ability to convey complex analytical results to business stakeholders.

Benefits

• Comprehensive well‑being support and health programs.
• Access to continuous learning resources and leadership development tracks.
• Opportunities to work on cutting‑edge AI/ML models that impact global financial services.
• Collaborative culture that values diverse perspectives and innovative thinking.
• Competitive compensation package with performance‑linked incentives.