Chase Modeling - Applied AI Modeling Lead (VP)

What you'll do

• Develop and launch models aligned with business goals, balancing performance, speed to market, and complexity.
• Lead modeling engagements from business use-case definition and analysis through deployment and performance monitoring; advise business partners on model strengths and limitations.
• Partner with Governance on documentation and regulatory compliance, and coach junior team members.

What they ask for

• M.S. degree in a quantitative discipline.
• 7+ years of hands-on, relevant Credit Cards industry experience developing statistical, econometric, or ML models; 5+ years of hands-on AI experience, such as reinforcement learning or optimization algorithms.
• Proficiency in Python and hands-on experience with machine-learning and deep-learning frameworks and libraries; strong working knowledge of Jupyter Notebook/Lab.
• Ability to turn ambiguous business inquiries into clear, actionable analysis plans.

Nice to have

• PhD in a quantitative discipline; experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer.
• AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals; knowledge of Databricks and Snowflake.

Pay

USD $171,000.00-$260,000.00 base salary (New York, NY); USD $128,250.00-$225,000.00 base salary (Jacksonville, FL); USD $137,750.00-$235,000.00 base salary (Plano, TX); USD $128,250.00-$225,000.00 base salary (Columbus, OH)

Tools

Python, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas, Jupyter Notebook/Lab, Databricks

AI focus

Develops and deploys AI and machine-learning models, including work with reinforcement learning or optimization algorithms, and monitors model performance.