Business Modeling - Applied AI ML Executive Director

Description

Join a intellectually diverse team of economists, statisticians, engineers, and other analytics professionals focused on quantitative modeling within JPMorgan Chase.

As an Applied AI Ml Executive Director, within the Finance Business Modeling team, you will lead a team and work closely with senior partners throughout JPMorgan Chase to set strategic direction and drive critical business decisions, including regulatory modeling efforts.

Job Responsibilities:

Provide strategic leadership and vision for the development and execution of AI and quantitative finance modeling initiatives, including stress testing (CCAR/DFAST) and decision optimization.

Lead stress testing (CCAR/DFAST) and finance model development end-to-end, including stakeholder engagement, exploratory data analysis, model development, documentation, governance, deployment, and monitoring.

Collaborate with senior executives and cross-functional teams to integrate AI and modeling solutions into strategic planning and business decision-making processes.

Serve as a subject matter expert in economics, and help business partners understand the strengths, limitations, and appropriate usages of models.

Be proactive about changes in model performance, customer behavior, and the competitive landscape.

Recruit, manage, and mentor top talent, fostering a collaborative environment that encourages innovation and continuous learning across the broader team.

Requiered qualifications, capabilities, and skills:

PhD in a quantitative discipline

Exceptional leadership and team management skills, with the ability to inspire and motivate a diverse team of professionals.

7+ years of hands-on experience developing statistical, econometric, or machine learning (ML) models.

3+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms

Expertise in at least one of the following: Python, R

Preferred qualifications, capabilities, and skills:

PhD in Economics

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 preferred