This role pays less than
83%
of similar roles. Most pay
$172,123–$242,212
— the shaded band above.
At the midpoint, this role pays about
$162k
versus about
$207k
for comparable roles.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
429 open roles
on FindRole.
Listed pay typically runs
$142,500–$201,000
across 218 roles with salary data.
Join JPMorgan Chase & Co. as a Senior Applied AI/ML Associate in their Global Private Bank, where you will lead the development and deployment of high-impact causal and predictive models across wealth management, lending, and advisory services. Your day-to-day responsibilities include framing complex business questions as causal problems, designing robust ML solutions using uplift modeling and observational studies, and ensuring model quality through rigorous evaluation frameworks. You will collaborate with engineering teams to implement MLOps practices on distributed data infrastructure and stay updated with the latest research in causal inference and agentic AI systems. The ideal candidate has a Master's or PhD in a quantitative field, 3+ years of hands-on ML experience, expertise in causal inference methods, and proficiency in Python, PyTorch, scikit-learn, and large-scale data processing tools like Spark and Hive. Experience in financial services and Bayesian modeling is preferred.