Lead Software Engineer- Market Risk

JPMorgan Chase & Co.•New York, NY

About The Position

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.

Requirements

Python required, with strong OO fundamentals and clean coding practices
Strong knowledge of the software development life cycle and Agile delivery
Experience building APIs and services and working with database querying languages
Exceptional communication skills, with the ability to converse with senior business stakeholders, quants, and technology leaders
Familiarity with Market Risk domain concepts, including VaR and Stress
Ability to use LLMs effectively; AI generalist mindset focused on practical value

Nice To Haves

Familiarity with Athena or SecDB and related integration patterns
Exposure to modern front-end technologies
Banking and financial services domain exposure is a big plus
Experience improving engineering practices through code reviews, standards, and mentoring
Hands-on operational practices such as logging, metrics, tracing, and clear runbooks

Responsibilities

Lead ideation and problem framing, present options and trade-offs, and help teams converge on the right solutions
Stay hands-on in Python to design, implement, and productionize utilities and services that integrate with firmwide platforms, including Athena or SecDB
Use LLMs effectively as an AI generalist to speed up prototyping, documentation, code assistance, and operational support
Streamline manual steps and reduce cycle time through thoughtful automation and simplification
Uphold engineering standards across design, coding, testing, CI/CD, observability, documentation, and runbooks
Maintain operational stability with pragmatic monitoring, logging, and metrics
Communicate clearly across business stakeholders, quant teams, and technology teams; present demos and drive alignment
Foster a culture of collaboration, diversity, opportunity, inclusion, and respect; share best practices and improve team ways of working
Continuously learn, improve, and help others do the same

Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
We also offer a range of benefits and programs to meet employee needs, based on eligibility.
These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

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