Lead Software Engineer Analytics

JPMorgan Chase

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: Jersey City, NJ
Posted: 127 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $202k

$183k most similar roles pay here $230k

This listing doesn't post a salary. Most similar roles pay $192,050–$211,200.

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 Analytics

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As a Lead Software Engineer Analytics - Python within the Wholesale Credit Risk Technology Analytics Team, you will serve as a core technical contributor in a fast-paced agile environment. You are responsible for designing, developing, and troubleshooting creative software solutions while ensuring high-quality production code is delivered securely and stably. Your daily work involves identifying automation opportunities to improve operational stability, leading evaluation sessions with external vendors regarding architectural designs, and guiding junior engineers. The role requires advanced proficiency in Python and Java, along with expertise in the full Software Development Life Cycle, CI/CD, and application resiliency. You will leverage cloud native technologies, specifically AWS and Databricks, while potentially utilizing LLM Engineering. This position addresses complex technical challenges within the financial services industry to build robust systems for credit risk management.

Skills

Python Java CI/CD Agile AWS Databricks LLM Engineering Machine Learning Artificial Intelligence Cloud Native Software Development Life Cycle Application Resiliency Security

What you'll do

Develop secure, high-quality production code while reviewing and debugging code written by other team members.
Design and implement creative technical solutions to solve complex problems beyond routine approaches.
Identify and automate the remediation of recurring issues to improve system operational stability.
Lead evaluation sessions with vendors and internal teams to assess architectural designs and technical feasibility.
Lead communities of practice to promote the adoption of leading-edge technologies across the engineering department.
Provide technical guidance and mentorship to junior software engineers.
Deliver scalable technology products within an agile framework using Python, Java, and cloud-native technologies.

What we're looking for

Formal training or certification in software engineering concepts.
At least 7 years of applied experience in software engineering.
Hands-on experience in system design, application development, testing, and operational stability.
Advanced proficiency in Python coding.
Experience in Java coding.
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.
Knowledge of financial services industry IT systems and practical cloud native experience.

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