Senior Director of Software Engineering

JPMorgan Chase & Co.
London, UK
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Automation of Tests Continuous Integration Quartz (Graphics Layer) Python (Programming Language) Systems Development Life Cycle Secure Coding Software Engineering Systems Integration Strategies of Testing TypeScript ReactJS

Job description

Join us to shape the future of trading technology at JPMorganChase. As a leader, you will drive impactful solutions for the Global Commodities Exotics Desk, collaborating with top talent and business partners. You’ll have the opportunity to influence strategy, deliver high-value outcomes, and foster a culture of innovation and excellence. Your work will empower traders and transform the way we deliver technology. Be part of a team where your leadership and vision make a difference., As a Senior Director of Engineering in the Commercial & Investment Bank (CIB) Markets Technology team, you will lead the engineering organization responsible for front-office, desk-critical workflow and trading technology. You will set the vision and drive execution for end-to-end stack delivery, supporting the full trade lifecycle from execution to reporting. You will partner with Trading leadership, business management, Quants/Strats, and Functional leads to shape the technology roadmap and ensure production readiness. You will build and mentor a high-performing team, fostering a culture of ownership and excellence. Your leadership will directly impact the desk’s success and innovation., * Own the technology strategy for desk workflow and tooling, translating business priorities into actionable roadmaps.

  • Partner with Traders, Desk Heads, Functional leads, Quants/Strats, and Operations to identify pain points and deliver value.
  • Represent the desk technology organization in senior forums, driving alignment and securing commitments.
  • Oversee end-to-end delivery across the SDLC, ensuring predictable execution and front-office responsiveness.
  • Establish delivery rhythms and drive a production-first culture focused on observability, performance, and operational controls.
  • Lead the design and delivery of integrated workflows, ensuring consistency and traceability across the trade lifecycle.
  • Coordinate cross-team delivery for clean, aligned releases with strong change management.
  • Set and enforce engineering standards for architecture, secure coding, testing, CI/CD, and incident response.
  • Sets and scales multi-department strategy for agentic AI-enabled engineering and SDLC/TLM automation (using enterprise-authorized tools within the work environment) to drive firmwide objectives (speed, scalability, reliability, and cost-to-serve), including portfolio-level standards for AI-orchestrated delivery workflows, release governance, automated test modernization, resilience engineering, and incident response acceleration; establishes guardrails for validation, security, resiliency, traceability, and reuse.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive cross-domain reuse and measurable capacity unlock outcomes across departments.
  • Sponsor and lead resolution of complex production incidents and systemic issues.

Requirements

  • Deep expertise in software engineering, system design, testing strategy, operability, secure engineering, and performance.
  • Experience in Commodities Front Office Technology, supporting Exotics/Commodities quant desks and trader workflows.
  • Significant experience leading engineering teams and delivering end-to-end stack systems in production at scale.
  • Demonstrated success partnering with Front Office/Trading stakeholders in high-urgency environments.
  • Strong technical depth in Python (preferred) or ability to lead in a Python-based stack.
  • Experience leading multi-organization adoption of agentic AI-enabled engineering operating models (using enterprise-authorized tools within the work environment), including defining governance (human-in-the-loop decisioning, quality gates), measurement frameworks, and secure handling of sensitive inputs/outputs across teams.
  • Deep understanding of responsible AI risk, controls, and resiliency/security expectations at scale, with demonstrated ability to advise senior leaders on safe adoption, portfolio governance, and reuse-first strategies.
  • Proven ability to drive outcomes through multi-team dependencies and influence without authority.

Preferred Qualifications, Capabilities, and Skills:

  • Experience integrating with booking, pricing, and risk ecosystems (e.g., Athena, SecDb, Quartz, RICE or equivalent).
  • Track record delivering front-to-back workflow integrations across complex organizations.
  • Strong experience with front-office UI/tooling (e.g., React/TypeScript) and automation for workflow-critical systems.
  • Experience modernizing legacy estates and improving resilience, observability, and incident management.

About the company

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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