JPMorgan Chase is Hiring Software Engineer I in Mumbai
Model Risk Governance & Review (MRGR) Analytics | Mumbai
Job Overview
JPMorgan Chase is hiring Software Engineer I professionals in Mumbai for its Model Risk Governance & Review (MRGR) Analytics team. This role offers an exciting opportunity to build technology solutions that improve efficiency, automation, reporting, and governance processes within one of the world's leading financial institutions.
The position is ideal for software engineers with strong Python, React, TypeScript, and full-stack development experience who are interested in developing intelligent business applications, integrating Large Language Models (LLMs), and working on data-driven solutions within a highly regulated financial environment.
💡 Why this role?
This is a unique opportunity to build scalable solutions that integrate cutting-edge AI and LLM technologies into critical enterprise risk management frameworks at a top-tier global bank.
This opportunity is ideal for candidates searching for:
Roles & Responsibilities
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Develop tools to automate model governance and review processes, building dashboards and reporting solutions for analytics teams.
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Translate business requirements into scalable software applications utilizing Python and internal technology frameworks.
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Integrate Large Language Models (LLMs) into enterprise applications and design intelligent tools to improve operational efficiency.
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Ensure data quality, controls, testing, and governance standards while supporting analytics and reporting initiatives across MRGR teams.
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Participate in the full software development lifecycle to deliver secure, scalable, and high-quality solutions, improving UX through continuous feedback.
Eligibility Criteria
Education
Bachelor's or Master's Degree in Science, Technology, Engineering, or Mathematics (STEM).
Experience
Minimum 2 years of full-stack application development experience, including enterprise software solutions.
Technical & Core Competence
Strong expertise in Python, TypeScript, React, and Full Stack Development is required. Candidates must have experience integrating Machine Learning models and working with Large Language Models (LLMs) in a scalable architecture.
How to Apply
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