Lead Software Engineer - Loan Trading - Python (credit Technology)

JPMorgan Chase JPMorgan Chase · Banking · Jersey City, NJ +1 · Commercial & Investment Bank

Lead Software Engineer for JPMorgan Chase's Credit Technology team, focusing on designing and delivering front-office software solutions for loan trading, risk management, and profit and loss. The role involves developing, troubleshooting, and enhancing complex systems with a focus on reliable, low-latency workflows, partnering closely with traders and control functions. Responsibilities include executing creative software solutions, developing secure production code, identifying automation opportunities, leading vendor evaluations, and building scalable services to streamline trading workflows.

What you'd actually do

  1. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  2. Develops secure high-quality production code, and reviews and debugs code written by others
  3. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  4. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  5. Develop and integrate trading workflows and loan reference data for the Secondary Loan Trading desk.

Skills

Required

  • Python
  • system design
  • application development
  • testing
  • operational stability
  • SQL
  • database querying
  • agile practices
  • CI/CD
  • application resiliency
  • security
  • full Software Development Life Cycle

Nice to have

  • modern front-end technologies
  • Java
  • Spring Boot
  • cloud-native development (AWS)
  • Fixed Income products
  • syndicated and secondary loans

What the JD emphasized

  • low-latency workflows