Join an 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 of experts and collaborate with senior partners across the organization to drive strategic initiatives and critical business decisions and focus on leveraging AI and machine learning to optimize business processes and enhance decision-making capabilities.

Job Responsibilities:

Provide strategic direction and oversee the performance of the Applied AI Modeling team, ensuring alignment with organizational goals. Recruit, manage, and mentor top talent, fostering a collaborative environment that encourages innovation and continuous learning across the broader team. Oversee the creation and implementation of AI and quantitative modeling initiatives across Finance. Lead the development of optimization frameworks and implementations for budgeting, pricing, branch location planning, and financial analysis. Research and implement appropriate algorithms and solution frameworks for a mix of problem types, including non-linear, black-box objective, large scale LP, and MIP. Identify data anomalies, flawed assumptions, and improper behavior in statistical models, ensuring rigorous investigation and model integrity. Communicate results across a wide variety of audiences, including business stakeholders, Finance and Technology partners, modeling teams in Risk, and Model Risk and Governance Review and perform ad hoc optimization analysis to answer immediate business questions and guide strategic decision-making.

Required qualifications, capabilities, and skills:

PhD in a quantitative field such as operations research, industrial engineering, mathematics, or computer science, with expertise in two or more analytical disciplines such as Linear and non-linear continuous optimization, Integer and MIP programming, Real-time optimization, Stochastic modeling, Statistics, data analysis, and experimental design, Machine Learning Techniques 7+ years of hands-on model development; 3 years of management experience. Demonstrated ability to set clear goals, plan ahead, and deliver against tight timelines. Strong analytical, interpretive, and problem-solving skills, with a demonstrated ability to think outside the box. Outstanding written and oral communication skills to present analytical findings and exercise influence across all levels of the organization. Strong Python programming skills.

Preferred qualifications, capabilities, and skills:

Banking & Financial Services background or experience preferred.