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Lead Software Engineer- Market Risk

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 2 months ago

No clicks

Join JPMorgan Chase as a senior Python engineer on the Market Risk Technology team, partnering with risk managers to design, build, and productionize tools supporting VaR and Stress workflows. You will own delivery from discovery through deployment, emphasizing clean OO Python, APIs, database integration, CI/CD, observability, and operational runbooks. The role requires leading problem framing and stakeholder alignment, using LLMs to accelerate prototyping and documentation, and driving automation to reduce manual cycle time.

Compensation
Not specified

Currency: Not specified

City
New York City
Country
United States

Full Job Description

Location: New York, NY, United States

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 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

Required Qualifications, Capabilities, and Skills

  • 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

Preferred Qualifications, Capabilities, and Skills

  • 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

What Success Looks Like

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

 

Propel strategic initiatives, promote growth, ensure operational excellence, and foster innovation in the organization.

Lead Software Engineer- Market Risk

Compensation

Not specified

City: New York City

Country: United States

J.P. Morgan logo
Bulge Bracket Investment Banks

2 months ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

Join JPMorgan Chase as a senior Python engineer on the Market Risk Technology team, partnering with risk managers to design, build, and productionize tools supporting VaR and Stress workflows. You will own delivery from discovery through deployment, emphasizing clean OO Python, APIs, database integration, CI/CD, observability, and operational runbooks. The role requires leading problem framing and stakeholder alignment, using LLMs to accelerate prototyping and documentation, and driving automation to reduce manual cycle time.

Full Job Description

Location: New York, NY, United States

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 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

Required Qualifications, Capabilities, and Skills

  • 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

Preferred Qualifications, Capabilities, and Skills

  • 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

What Success Looks Like

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

 

Propel strategic initiatives, promote growth, ensure operational excellence, and foster innovation in the organization.