Lead Software Engineer - Quant Developer Python

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Asset & Wealth Management

Lead Software Engineer - Quant Developer Python at JPMorgan Chase, focusing on enhancing the Quant Research Platform and Portfolio Construction and Management stack. The role involves working with Quant Research on model development, validation, and building reusable Python Quant libraries to standardize research-to-production patterns. Requires strong Python, statistical methods, and data analytics skills within the financial services industry.

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. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Skills

Required

  • Python
  • software engineering concepts
  • architecture and design across complex systems
  • industry-wide technology trends and best practices
  • Software Development Life Cycle
  • financial services industry and their IT systems
  • cloud native experience

Nice to have

  • CFA charter holder
  • BS or MSc degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a related scientific discipline

What the JD emphasized

  • 5+ years applied experience
  • In-depth knowledge of the financial services industry and their IT systems