Senior Lead Software Engineer - Market Risk Tech

Market Risk Technology supports JPMorgan Chase's Risk Managers in understanding firmwide exposures and running core risk processes, including Va R and Stress.

We build applications that start with the business.

Risk Managers increasingly prototype their own tools.

When a tool outgrows what a non-engineer can maintain, we take it on and rebuild it to production standard: secure, supported, easy to use and integrated with firm platforms.

We also build directly from business ideas where no prototype exists.

In this role you will be a senior engineer working directly with Risk Managers in London.

You will understand the problem behind a request, design and build a solution that fits the wider system, and see it through to a stable production service.

You will work with senior
stakeholders, pull in the people needed to solve a problem, and guide the engineers around you.

Speed to production matters to us, and so does doing it safely and doing it well.

• Job Responsibilities
• Design, build and run production applications end to end (services, data pipelines and user interfaces) that integrate with firm platforms and data sources
• Understand the business problem behind each request, and shape the solution around it, which sometimes means proposing a different answer to the one asked for
• Look beyond the immediate request to find the problems worth solving, and make the case for them
• Design solutions with the wider system in mind, and make the trade-offs between speed, resilience and long-term maintainability explicit
• Design applications, APIs and data for AI agents as well as people to use and operate: clear interfaces, structured outputs, permissions and guardrails
• Build trusted working relationships with senior Market Risk stakeholders, including Managing Directors, and be accountable to them for delivery
• Set clear expectations on scope, success criteria, timelines and risks, and keep stakeholders informed as things change
• Provide transparency on status and issues, raising problems early and with options
• Work across team boundaries to get problems solved: bring the right people together, set up the conversations that are needed, and follow through to resolution
• Guide and review the work of junior engineers, and help them grow their skills and judgement
• Use AI tools day to day to build, test and document faster, and look for where AI and agents can solve the business problem directly
• Challenge existing ways of working, bring fresh ideas, and improve processes and tools as you go, keeping the ones that add value and removing the ones that don't
• Uphold engineering standards across design, coding, testing, CI/CD, security, observability, documentation and runbooks
• Represent the team with senior business and technology stakeholders, lead by example, and contribute to an inclusive and respectful team culture
• Required Qualifications, Capabilities, and Skills
• Significant hands-on experience designing, building and running production applications in large corporate environments
• Deep proficiency in at least one programming language, and comfort working across the stack
• Strong systems thinking: you design solutions that fit across platforms, data flows and teams, and can explain the trade-offs
• Practical, regular use of AI tools in engineering, with the depth to review and take responsibility for AI-generated code and the judgement to know when it isn't good enough
• A working understanding of agentic systems: how agents use tools, APIs and data, how agent workflows are orchestrated, and how to keep them observable, controlled and safe
• A business-first approach to problems, and the judgement to tell the problem worth solving from the one that is simply nearest
• A track record of building trusted relationships with senior business stakeholders and being accountable to them
• Clear, candid written and verbal communication, including explaining technical trade-offs and delivering difficult messages to senior audiences
• Comfortable working across teams to resolve problems, including pulling people together when no one else does
• Experience guiding and reviewing the work of other engineers
• A track record of taking accountability for outcomes, your own and those of the work you lead
• The confidence to challenge the status quo, and a habit of improving things along the way
• Preferred Qualifications, Capabilities, and Skills
• Python, our primary language
• Understanding of financial markets and Market Risk concepts, such as sensitivities, Va R, Stress or FRTB
• Familiarity with Athena or Sec DB and related integration patterns
• Experience with Databricks or similar data platforms
• Experience building LLM-based or agentic capabilities into production (for example retrieval, tool interfaces such as MCP, or multi-agent orchestration)
• Experience leading a small team of engineers
• What Success Looks Like
• Senior Risk Managers see you as their technology partner, bring problems to you early, and trust what you tell them
• Stakeholders know what to expect, when to expect it, and hear about risks before they become issues
• You work on the problems that matter to the business, and help the team do the same
• Your solutions fit the wider system and hold up as needs change
• Your applications can be used and operated by AI agents as well as people, safely and with clear controls
• Problems that span teams get resolved because you brought the right people together
• Junior engineers grow faster for working with you
• Processes and tools are better because you were there
• You represent the team well, and others learn from how you work