Market Risk Technology supports JPMorganChase's Risk Managers in understanding firmwide exposures and running core risk processes, including VaR 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, VaR, Stress or FRTB
- Familiarity with Athena or SecDB 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