Join us as a Python engineer to collaborate with Market Risk stakeholders and deliver swift, practical solutions. You'll actively shape priorities, contribute ideas, and promote decisions while engaging deeply with the code. This senior role offers significant influence, allowing you to transform MVPs into reliable production solutions and support workflows related to VaR and Stress.

As a Lead Software Engineer at JPMorganChase within our Market Risk Technology team you will support JPMorgan’s Risk Managers in understanding firmwide exposures and running core risk processes. In this RAD role, you will help identify the right problems to solve, propose options, brainstorm with stakeholders, and turn MVPs into reliable production solutions that integrate with existing platforms. You will contribute to workflows related to VaR and Stress, and you will own delivery from discovery through deployment and support. This is a senior individual contributor role with meaningful influence.

Job Responsibilities

Lead ideation and problem framing, present options and trade-offs, and help teams converge on the right solutionsStay hands-on in Python to design, implement, and productionize utilities and services that integrate with firmwide platforms, including Athena or SecDBUse LLMs effectively as an AI generalist to speed up prototyping, documentation, code assistance, and operational supportStreamline manual steps and reduce cycle time through thoughtful automation and simplificationUphold engineering standards across design, coding, testing, CI/CD, observability, documentation, and runbooksMaintain operational stability with pragmatic monitoring, logging, and metricsCommunicate clearly across business stakeholders, quant teams, and technology teams; present demos and drive alignmentFoster a culture of collaboration, diversity, opportunity, inclusion, and respect; share best practices and improve team ways of workingContinuously learn, improve, and help others do the same

Required Qualifications, Capabilities, and Skills

Python required, with strong OO fundamentals and clean coding practicesStrong knowledge of the software development life cycle and Agile deliveryExperience building APIs and services and working with database querying languagesExceptional communication skills, with the ability to converse with senior business stakeholders, quants, and technology leadersFamiliarity with Market Risk domain concepts, including VaR and StressAbility to use LLMs effectively; AI generalist mindset focused on practical value

Preferred Qualifications, Capabilities, and Skills

Familiarity with Athena or SecDB and related integration patternsExposure to modern front-end technologiesBanking and financial services domain exposure is a big plusExperience improving engineering practices through code reviews, standards, and mentoringHands-on operational practices such as logging, metrics, tracing, and clear runbooks

What Success Looks Like

You help shape the roadmap through clear thinking, practical ideas, and effective stakeholder dialogueYou deliver MVPs in weeks that reduce manual effort and improve productivity, then mature them into stable servicesYour work improves reliability and supportability and is accompanied by clear documentation and runbooksYou elevate collaboration and communication across business, quants, and technology while modeling an inclusive, learning-oriented culture