Lead Software Engineer Analytics

JPMorgan Chase

Confirmed live yesterday Low trust

Quick summary

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

Market check

Salary context

How this pay compares to similar roles

Similar $195k
$134k $249k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $172,312–$218,287.

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 1239 open roles on FindRole.

Listed pay typically runs $136,000–$207,500 across 6 roles with salary data.

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At a glance

TL;DR · Lead Software Engineer Analytics

As a Lead Software Engineer Analytics - Python, you will join the Wholesale Credit Risk Technology Analytics Team as a core technical contributor within a fast-paced agile environment. You will be responsible for implementing critical technology solutions, designing and developing secure high-quality production code, and troubleshooting complex technical problems. Your daily work involves reviewing code, automating remediation for recurring issues, and leading evaluation sessions with vendors and internal teams to assess architectural designs. You will provide guidance to junior engineers and lead communities of practice. Required skills include advanced Python and Java coding, system design, and proficiency in CI/CD and the full Software Development Life Cycle. You must possess practical cloud native experience, knowledge of financial services IT systems, and familiarity with Databricks or LLM Engineering.

What you'll do

  • Design, develop, and troubleshoot creative software solutions for complex technical problems.
  • Write secure, high-quality production code and perform code reviews for other engineers.
  • Automate the remediation of recurring issues to improve overall system operational stability.
  • Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical credentials.
  • Lead communities of practice to promote the adoption of leading-edge technologies.
  • Provide technical guidance and mentorship to junior software engineers.
  • Implement solutions across multiple technical domains to meet specific business objectives.

What we're looking for

  • Formal training or certification on software engineering concepts and 7+ years of applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Advanced coding skills in Python.
  • Experience coding in Java.
  • Proficiency in automation, continuous delivery methods, and all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies, including CI/CD, Application Resiliency, and Security.
  • Demonstrated proficiency in software applications and technical processes within a technical discipline.
  • In-depth knowledge of the financial services industry and their IT systems.
  • Practical cloud native experience (preferred).
  • Databricks experience (preferred).
  • LLM Engineering experience (preferred).

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