Lead Python Engineer - Real-Time Market Data & Pricing

JPMorgan Chase & Co.

Greater London

On-site

GBP 110,000 - 150,000

Full time

14 days+

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Job summary

JPMorganChase within the Commercial & Investment Bank (CIB) – Markets Technology (Rates Nonlinear) is seeking a Lead Software Engineer to help build and deliver trusted market-leading tech in a secure, scalable way. You will lead real-time marking, pricing, and market data platforms and work closely with front office traders and quantitative research across the EMEA region.

You will drive the technical agenda, deliver across the full trade lifecycle, and promote responsible AI adoption, secure

Qualifications

  • Formal training or certification on software engineering concepts and advanced applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Strong knowledge of Python and modern SDLC practices.

Responsibilities

  • Executes creative software solutions for real-time marking, pricing, and market data within Rates Nonlinear trading desk.
  • Develops secure, high-quality production code and reviews others' code.
  • Drives AI-assisted engineering practices to improve quality, speed, and operations with validated AI outputs.
  • Applies SDLC tools and automation to increase value and reliability.
  • Owns the technology agenda for the EMEA region in partnership with traders and researchers.
  • Leads cross-functional initiatives across risk, market data, and related platforms.
  • Evaluates external vendors and internal teams for architectural alignment.
  • Builds trusted relationships with front office and research stakeholders.

Skills

Python
CI/CD
Cloud
AI-assisted development
Security

Job description

JPMorganChase within the Commercial & Investment Bank (CIB) – Markets Technology (Rates Nonlinear) is seeking a Lead Software Engineer to help build and deliver trusted market-leading tech in a secure, scalable way. You will lead real-time marking, pricing, and market data platforms and work closely with front office traders and quantitative research across the EMEA region.

You will drive the technical agenda, deliver across the full trade lifecycle, and promote responsible AI adoption, secure

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