Lead Software Engineer, ML and Agentic Treasury

JPMorgan Chase

Confirmed live yesterday Trusted

Quick summary

Work type: On-site
Location: Jersey City, NJ
Posted: 16 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $211k

$173k most similar roles pay here $237k

This listing doesn't post a salary. Most similar roles pay $192,050–$230,400.

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 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

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

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As a Lead Software Engineer - ML and Agentic Treasury on the Commercial & Investment Bank - Payments (Data Analytics & Regulatory Compliance) Team, you will join an agile team to design and deliver secure, stable, and scalable technology products. You are responsible for executing software solutions, developing high-quality production code, maintaining algorithms, and creating architecture artifacts for complex applications. Your daily work involves troubleshooting technical problems, analyzing large datasets to improve system architecture, and utilizing enterprise-authorized AI coding tools to enhance development speed and quality. The role requires expertise in Java, Python, SQL, PostgreSQL, and AWS, with a focus on the Software Development Life Cycle and CI/CD. You will also leverage ML frameworks like Scikit-Learn, PyTorch, and Pandas while ensuring responsible AI practices within the data analytics and regulatory compliance domain.

Skills

Java Python SQL PostgreSQL AWS Databricks Scikit-Learn PyTorch Pandas CI/CD Agile System Design

What you'll do

Design, develop, and troubleshoot complex software solutions beyond routine technical approaches.
Create secure, high-quality production code and maintain synchronized algorithms for large systems.
Utilize enterprise-authorized AI coding tools to generate, refactor, and document code while ensuring security standards.
Produce architecture and design artifacts for complex applications while ensuring code meets specific constraints.
Analyze and visualize large, diverse datasets to drive continuous improvement of software systems.
Identify hidden patterns in data to improve coding hygiene and system architecture.
Manage the full Software Development Life Cycle using automation and CI/CD pipelines.

What we're looking for

Formal training or certification in software engineering concepts.
5+ years of applied experience in software engineering.
Hands-on experience in system design, application development, testing, and operational stability.
Experience developing, debugging, and maintaining code using Java, Python, and SQL in a large corporate environment.
Proficiency with PostgreSQL and AWS cloud services.
Experience using enterprise-authorized AI-assisted software development tools to improve code quality and productivity.
Understanding of responsible AI use, including data sensitivity and secure handling of outputs.
Knowledge of the Software Development Life Cycle (SDLC) and agile methodologies like CI/CD and Application Resiliency.

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