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Applied Ai Ml Associate

Posted on Oct. 9, 2025

Ka, India
0 - 0 USD (yearly)

Full Time

JOB DESCRIPTION

We offer an exciting opportunity to advance your quantitative modeling career in a team that values creativity and excellence.

As an Applied AI ML Associate in the Data Analytics team, you will design and develop statistical and machine learning models that drive informed decision-making across the firm. You will collaborate with diverse teams and contribute to impactful solutions supporting business objectives.

Job responsibilities

Identify data anomalies and investigate issues during model development
Perform advanced quantitative and statistical analysis of large datasets to uncover trends and patterns
Clean and prepare modeling datasets for analysis
Build statistical and econometric models for budgeting, financial analysis, and regulatory requirements
Develop machine learning models for optimal pricing decisions across Deposits, Auto, Home Lending, and Cards products
Communicate modeling results to Finance partners, Risk teams, and Model Governance
Mentor team members in model development and statistical analysis

Required qualifications, capabilities, and skills

Graduate degree (M.S. or Ph.D.) in Statistics, Economics, Mathematics, Operations Research, Engineering, or Computer Science
Five years of hands-on model development experience
Strong programming skills in Python or PySpark
Proficient in statistics, econometric modeling, and time series analysis
Experience with linear and non-linear modeling, panel data analysis, Bayesian and non-parametric methods
Solid foundation in machine learning theory and end-to-end development
Experience in big data processing with Spark or Hadoop and Unix operating systems

Preferred qualifications, capabilities, and skills

Hands-on experience in budget and regulatory (CCAR) modeling for Deposits, Wealth Management, or lending products
Expertise in Python; familiarity with PySpark, TensorFlow, and Gen AI applications
knowledge of TensorFlow is an advantage
Experience hosting and maintaining machine learning applications; knowledge of container services is a plus

ABOUT US

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.

ABOUT THE TEAM

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.

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