Senior Lead Software Engineer - Trading Systems & AI

JPMorganChase

New York (NY)

On-site

USD 130,000 - 180,000

Full time

3 days ago
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Job summary

JPMorganChase in New York is seeking a Senior Lead Software Engineer within the Corporate & Investment Bank Securitized Product Group Technology team to own critical components of trade pre-trade, trade capture, pricing and real-time risk and PnL streams.

You will lead cross-functional teams, drive modernization using AI-assisted tooling, and deliver scalable, robust solutions with a focus on security and reliability across the SDLC.

Qualifications

  • 5+ years of applied software engineering experience in Java, Spring and related stacks.
  • Experience with messaging hubs such as Kafka, IBM MQ, Tibco or AMPS.
  • Strong background in Fixed Income trading or related domains.
  • Ability to influence across matrixed organizations and deliver value at scale.
  • Experience with complex project design, testing, and operational stability.

Responsibilities

  • Develop and maintain 100% hands-on software across pre-trade, trade capture and pricing domains.
  • Design trading tools and streamline tech stack for FICC assets.
  • Analyze legacy systems and propose modernized solutions.
  • Create metrics/KPIs and report progress to senior leadership.
  • Lead pilots and govern AI-assisted engineering practices across teams.

Skills

Java
Spring Framework
Spring Boot
Spring Cloud
Python
C++
AI-assisted development tools
AI/ML knowledge
Security awareness
Code review & testing
Leadership/mentoring
Collaboration across teams

Education

Bachelor's degree in Computer Science or Engineering
Graduate degree preferred

Tools

Kafka
IBM MQ
Tibco
AMPS

Job description

JPMorganChase in New York is seeking a Senior Lead Software Engineer within the Corporate & Investment Bank Securitized Product Group Technology team to own critical components of trade pre-trade, trade capture, pricing and real-time risk and PnL streams.

You will lead cross-functional teams, drive modernization using AI-assisted tooling, and deliver scalable, robust solutions with a focus on security and reliability across the SDLC.

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