Applied AI ML Lead

We have an exciting and rewarding opportunity for you to advance your AI-ML modeling career in our Finance Modeling team.

As an AI-ML Lead in the Finance Modeling team, you design and deliver innovative models that support informed decision-making and business growth. You collaborate with diverse teams and contribute to the firm’s success through advanced analytics and model development.

Job Responsibilities

• Perform advanced quantitative and statistical analysis of large datasets to uncover trends and insights 
• Build statistical, econometric, or machine learning models for budgeting, financial analysis, regulatory requirements, and pricing decisions
• Communicate analytical results to Finance partners, modeling teams, and Model Governance

• Experience in leading & managing teams to deliver best in class statistical, econometric & ML models

Required qualifications, capabilities, and skills

• Graduate degree (M.S. or Ph.D.) in Statistics, Economics, Mathematics, Operations Research, Engineering, or Computer Science
• 10+ years of hands-on model development experience
• Proficient in Python & PySpark with strong programming and development skills
• Experience with statistical and econometric modeling techniques, including time series, panel data, Bayesian, and non-parametric methods
• Strong foundation in machine learning theory and end-to-end development, including NLP, computer vision, or reinforcement learning
• Proficient in big data processing tools such as Spark or Hadoop and Unix operating systems
• Ability to communicate complex concepts effectively with non-technical stakeholders
• Experience with machine learning models and familiarity with Gen AI applications
• Expertise in Python, with knowledge of PySpark or TensorFlow
• Excellent written and oral communication and presentation skills
• Experience in leading & managing high performance teams to deliver statistical, econometric, or machine learning models 

Preferred qualifications, capabilities, and skills

• Hands-on experience in budget and regulatory (CCAR) modeling for deposit growth, fee revenue, or other business drivers
• Knowledge of components of PPNR models for deposit & wealth management portfolio
• Understanding forecasting the performance of branches or bankers, in order to optimize the branch network and staffing
• Creating price elasticity models to optimize deposit and loan (Auto, Home Lending & Cards) pricing
• Model-based automatic machine learning
• Machine Learning Explainability for risk control
• Scalable Machine Learning / Big data framework

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.