Jp morgan software engineering Work, Jobs (with Salaries)

Python Full Stack Software Engineer II
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Full-Stack Software Engineer III
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Software Engineer III - AI/ML Data Platforms - AI Engineer - Python
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Software Engineer III - AI/ML Platform
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- Full-time
- System design
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Staff Backend Engineer - Alerting | UK | Remote
Grafana Labs —Remote
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Python Software Engineer III
JPMorganChase —Glasgow
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Software Engineer II - Full Stack React/Java Developer
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UI Senior Lead Software Engineer - Commodities
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Staff AI Engineer - 2nd Horizon | UK | Remote
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12d
Staff Software Engineer - Databases SRE | UK | Remote
Grafana Labs —Remote
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Software Engineer III - UAT, Payments
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Lead Software Engineer (UI) — Digital Markets Execution Technology (DMET), Execute
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Principal Software Engineer - Full Stack Python/AWS - Executive Director
JPMorganChase —London
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- Master's degree
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Java Lead Software Engineer — Digital Markets Execution Technology, Execute
JPMorganChase —London
- Full-time
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- Java
- Software development

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Python Full Stack Software Engineer II

JPMorganChase -
London

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Job details

Full-time
1 day ago

Qualifications

Law
React
Software deployment
Engineering
Master's degree
OOP
Bachelor's degree
Software development
GitHub
Financial services
AI
TypeScript
Communication skills
Python
SDLC
Design patterns

Full job description

JOB DESCRIPTION

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.

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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Refine Your Search

jp morgan software engineering jobs

Python Full Stack Software Engineer II

Software Engineer III-GoLang, AWS & Kubernetes

Full-Stack Software Engineer III

Lead Software Engineer - Public Cloud Engineering

Software Engineer III - AI/ML Data Platforms - AI Engineer - Python

Lead Software Engineer - Platform Engineering - Chase UK

Lead Software Engineer - C#, SQL Server Database

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Software Engineer III - AI/ML Platform

Front-end Software Engineer III

Staff Backend Engineer - Alerting | UK | Remote

Python Software Engineer III

Software Engineer II - Full Stack React/Java Developer

UI Senior Lead Software Engineer - Commodities

Staff AI Engineer - 2nd Horizon | UK | Remote

Staff Software Engineer - Databases SRE | UK | Remote

Software Engineer III - UAT, Payments

Lead Software Engineer (UI) — Digital Markets Execution Technology (DMET), Execute

Principal Software Engineer - Full Stack Python/AWS - Executive Director

Java Lead Software Engineer — Digital Markets Execution Technology, Execute

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