Lead Software Engineer, ML and Agentic Treasury

JPMorgan Chase

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Employment
Full-time
Posted
62 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $211k
$138k $274k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $169,425–$251,625.

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 1226 open roles on FindRole.

Listed pay typically runs $156,750–$215,000 across 5 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer, ML and Agentic Treasury

As a Lead Software Engineer - ML and Agentic Treasury, you will join the Commercial & Investment Bank - Payments (Data Analytics & Regulatory Compliance) Team. You will serve as a seasoned member of an agile team, designing and delivering trusted, scalable technology products. Your daily responsibilities include executing software solutions, creating high-quality production code, and maintaining algorithms while producing architecture and design artifacts for complex applications. You will develop, debug, and maintain code using Java, Python, and SQL within a large corporate environment. The role requires hands-on experience with AWS, PostgreSQL, and enterprise-authorized AI-assisted development tools to improve code quality and automation. You will also utilize ML frameworks like Scikit-Learn, PyTorch, and Pandas, while managing data visualizations and reporting from large, diverse datasets.

What you'll do

  • Design and develop secure, high-quality production code and maintain synchronous algorithms.
  • Execute technical troubleshooting and build non-conventional solutions for complex technical problems.
  • Produce architecture and design artifacts while ensuring software code meets all design constraints.
  • Leverage enterprise-authorized AI coding tools to generate, refactor, and test complex deliverables.
  • Analyze large, diverse datasets to develop visualizations and reporting for system improvements.
  • Identify hidden patterns in data to improve coding hygiene and system architecture.
  • Apply SDLC toolchain knowledge to improve automation value and software delivery speed.

What we're looking for

  • Formal training or certification on software engineering concepts and 5+ years of applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Experience developing, debugging, and maintaining code in a large corporate environment using Java, Python, and SQL.
  • Experience with PostgreSQL and AWS.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools to create, validate, and refine outputs.
  • Understanding of responsible AI use, including data sensitivity, secure handling of inputs/outputs, and security expectations.
  • Overall knowledge of the Software Development Life Cycle and agile methodologies like CI/CD and Application Resiliency.
  • Knowledge with Databricks (preferred); knowledge with ML Frameworks including Scikit-Learn, PyTorch, and Pandas (preferred).

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