Quant Analytics Analyst

Job Description

Build skills at the leading edge of applied AI while working on real products that matter. You’ll collaborate with experienced engineers and partners, learn modern development practices, and contribute to AI-enabled applications from design through delivery. This role offers hands-on exposure to model integration, evaluation, and secure data access patterns. If you’re early in your career and eager to grow, we’d like to meet you.

Job summary
As an AI Developer in TBD (team name), you will contribute to the development of applications that use modern AI models and connect to enterprise data in a secure, well-governed way. You’ll work closely with senior developers and cross-functional partners to deliver team-based projects, learn best practices, and build a strong foundation in applied AI engineering.

Job responsibilities

• Assist with designing, building, testing, and improving AI-enabled applications
• Support integration of AI models (including large language models) into software solutions
• Write, review, and debug code under the guidance of senior developers
• Help build data pipelines and connectors that enable secure access to enterprise data sources
• Participate in prompt design, model evaluation, and iterative improvement activities
• Document technical solutions, workflows, and code to support maintainability and knowledge sharing
• Collaborate with engineers, data scientists, and product partners to deliver project outcomes
• Follow data governance, security, privacy, and responsible AI requirements
• Stay current with emerging AI tools, frameworks, and engineering best practices

Required qualifications, capabilities and skills

• Bachelor’s degree (or equivalent practical experience) in computer science, software engineering, data science, artificial intelligence, or a related field
• Foundational programming skills in Python
• Basic understanding of machine learning concepts, including large language models and foundation models
• Familiarity with APIs, data structures, and core software development fundamentals
• Demonstrated problem-solving skills and an eagerness to learn new tools and concepts
• Ability to work collaboratively and follow technical direction from senior developers
• Strong written and verbal communication skills

Preferred qualifications, capabilities and skills

• Experience with AI/ML frameworks and libraries (for example: PyTorch, TensorFlow, Hugging Face, or LangChain)
• Exposure to cloud platforms (for example: AWS or Azure)
• Familiarity with Git and continuous integration/continuous delivery (CI/CD) practices
• Exposure to data pipelines, SQL, and relational databases
• Awareness of responsible AI, data privacy, and security considerations in regulated environments
• Internship, academic, or portfolio project experience involving AI or software development
• Experience supporting more than one Line of Business.

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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 Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.