JPMorgan Chase is Hiring Applied AI/ML Associate in Bengaluru
Consumer & Community Banking
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Job Overview
JPMorgan Chase is hiring an Applied AI/ML Associate to join its Model Insights Team within Consumer & Community Banking Risk Modeling. The role focuses on machine learning model monitoring, data quality, ETL, automation, risk analytics, and production-ready data solutions.
You will build end-to-end solutions for model monitoring, analyze robust datasets to resolve pipeline issues, and leverage cloud computing frameworks to drive scale and automation.
💡 Why this role?
This opportunity is ideal for candidates from quantitative disciplines looking to utilize advanced Python, PySpark, Snowflake, and Databricks to drive machine learning model monitoring and GenAI automation at one of the world's most premier financial institutions.
Key Responsibilities
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Build end-to-end solutions for machine learning model monitoring and leadership reporting.
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Work on complex data sourcing, ETL processes, transformations, testing, and cloud deployment.
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Analyze large-scale data to proactively identify and resolve data quality and pipeline issues.
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Identify opportunities to improve processes and operational efficiency through advanced automation and GenAI.
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Collaborate extensively with model development teams, business stakeholders, and support risk controls.
How to Apply
Click Apply Button
Scroll down and click the primary orange "Apply Now" button below.
Visit JPMorgan Chase Portal
You will be redirected to the official JPMorgan Chase careers portal. Search for Job ID 210784040.
Submit Application
Submit your detailed technical resume, highlighting your Python, PySpark, and ETL experience before September 4, 2026.
⚠️ AI/ML roles at top banks fill up rapidly. Apply as soon as possible.