As a Software Engineer - Model Risk Governance & Review - Analyst at JPMorgan Chase in Model Risk Governance & Review (MRGR) team, you will be developing tools for MRGR Analytics to improve efficiency and reduce duplication of effort, including resource management and cost optimization tools.
You will provide support for model reviewers and governance teams in building independent testing and efficiency tools. You will be delivering high-quality solutions by emphasizing the importance of data controls, testing and continuously seek input from users to align efforts with their objectives.
Job responsibilities
- Build data pipelines to fetch, validate, transform, and deliver data to applications, enabling reliable downstream analytics, automation, and reporting.
- Integrate on-going performance monitoring requirements for models into business applications through applied development work, primarily in Python using in-house frameworks.
- Leverage developer productivity tools (e.g., GitHub Copilot) to accelerate delivery, improve code quality, and enhance documentation and testing.
- Collaborate with cross-functional teams to identify opportunities for LLM integration and develop solutions that leverage LLM capabilities.
- Build intelligent solutions to support MRGR staff activities, including workflow automation and insight generation.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and advanced applied experience
- A Bachelors or Masters degree in a Science, Technology, Engineering, or Mathematics discipline with significant exposure to computer programming.
- Proficient in Python and knowledge of Tornado web framework / TypeScript / React.
- Good understanding of software architecture, object-oriented programming and design patterns.
- Strong communication skills with the ability to interface with other functional areas in the firm on business requirements.
- Risk and control mindset: ability to think critically, assess user needs and create design solutions to meet user needs.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
Preferred qualifications, capabilities, and skills
- Experience in working with large data sets.
- Exposure to LLM integration and deployment in real-world applications.
- Experience in model risk management or financial services space.
Skills Required
- Formal training or certification on software engineering concepts and advanced applied experience
- Bachelors or Masters degree in a STEM discipline with significant exposure to computer programming
- Proficient in Python
- Knowledge of Tornado web framework
- Knowledge of TypeScript and React
- Good understanding of software architecture, object-oriented programming and design patterns
- Strong communication skills and ability to interface with other functional areas on business requirements
- Risk and control mindset with ability to assess user needs and design solutions
- Hands-on experience using enterprise-authorized AI-assisted software development tools (e.g., for coding, testing, documentation)
- Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and resiliency/security expectations
- Experience working with large data sets
- Exposure to LLM integration and deployment in real-world applications
- Experience in model risk management or financial services space
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
-
Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
-
Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
-
Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
Gallery
