JPMorgan Chase & Co.

Job Description

As an Applied AI Associate in our cross-functional team you will use your applied research, AI engineering and data science skills to tackle complex problems across the Corporate Functions (including Risk, Finance, Compliance and Legal). Collaborating with technology and business partners you’ll source and analyze diverse data; develop & evaluate models; design & deploy software to the public cloud benefitting over 200k employees across the lines of business!

You’ll solve business problems by building systems to surface insights from a wide and ever-increasing range of data sources including news, company filings, non-government organization reports and market data. You’ll care about producing high-quality, maintainable AI solutions and be keen to develop skills across a broad and evolving technology stack centered on Large Language Models (LLMs), Generative AI, Agentic systems, Python and AWS cloud infrastructure.

Job responsibilities:

• Designing, building and deploying impactful end-to-end AI solutions surfacing insights to many business groups as part of a diverse team
• Participating in exciting research and development activities for new and existing AI products
• Engaging with stakeholders and understanding business requirements
• Contributing to the overall product and software development lifecycle through design, coding, testing, peer review, continuous integration and deployment (CI/CD) and validation
• Enrich team and site culture by joining technical knowledge sharing sessions, pair programming, collaborative debugging and design workshops

Required qualifications, capabilities, and skills:

• Undergraduate degree in a STEM subject (including, but not limited to Data Science, Computer Science, Engineering, Physical Sciences, Applied Mathematics or Statistics)
• Practical research skills and the desire to tackle interesting and varied applied research problems using state-of-the-art tools and techniques
• Solid Python programming fundamentals and experience with the Python ecosystem (i.e. pandas, numpy, scikit-learn)
• At least one year of industry or academic research experience applying AI or adjacent techniques to solve real-world problems in any domain

Preferred qualifications, capabilities, and skills :

• Experience in natural language processing (NLP) and its applications
• Familiarity with large language models and agentic frameworks such as LangGraph
• User interface design and development experience using React
• Exposure to public cloud technologies and microservice deployment
• Postgraduate degree in a STEM discipline
• Experience in the financial services industry

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.