2026 Asset Wealth Management Machine Learning Engineer - Summer Associate

Location: Jersey City, NJ, United States

Job Family: Seasonal Employee

About the Role

Join JPMorgan Chase & Co., a leading global financial services firm with $3.7 trillion in assets and operations in over 100 markets, as a 2026 Asset Wealth Management Machine Learning Engineer - Summer Associate. In this 10-12 week internship based in Jersey City, NJ, you will be at the forefront of reimagining private banking through cutting-edge AI and machine learning solutions. As part of our Asset & Wealth Management division, which serves high-net-worth individuals and institutions with innovative wealth advisory services, you will contribute to developing advanced AI agents that enhance client experiences, optimize investment strategies, and drive operational efficiency in a highly regulated financial environment. Your role will involve hands-on work with real financial datasets to build and deploy ML models that address key challenges in wealth management, such as personalized portfolio recommendations and predictive risk modeling. Collaborating with data scientists, quants, and business leaders, you will leverage JPMorgan's vast resources—including proprietary data lakes and AI research labs—to prototype solutions that align with our commitment to responsible innovation. This position offers a unique opportunity to apply your technical expertise to impactful projects that support our clients' financial goals while adhering to stringent industry standards like those from the SEC and FINRA. At JPMorgan Chase, we foster a culture of inclusion and innovation, providing summer associates with mentorship from industry experts and exposure to the intersection of technology and finance. This internship not only builds your skills in ML engineering but also offers a glimpse into a career at one of the world's most admired companies, with potential for full-time roles in our technology and wealth management teams. If you are passionate about using AI to transform financial services, this is your chance to make a meaningful contribution.

Key Responsibilities

• Collaborate with cross-functional teams in Asset & Wealth Management to identify opportunities for AI-driven innovations in private banking
• Develop and deploy machine learning models to enhance client personalization, predictive analytics, and risk assessment
• Design and build advanced AI agents that automate complex workflows, such as portfolio optimization and client advisory services
• Analyze large-scale financial datasets to extract insights and improve decision-making processes
• Conduct experiments to evaluate model performance, iterating on solutions to ensure robustness and scalability
• Integrate ML solutions with existing JP Morgan Chase systems, ensuring compliance with regulatory standards in finance
• Contribute to the reimagination of private banking by prototyping impactful AI tools that drive client value
• Document technical approaches, present findings to stakeholders, and support knowledge sharing within the team
• Stay abreast of emerging ML trends and apply them to solve challenges in wealth management

Required Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field, with an expected graduation date in 2026 or later
• Strong foundation in machine learning concepts, including supervised and unsupervised learning, neural networks, and natural language processing
• Proficiency in Python programming and experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Demonstrated ability to work with large datasets and perform data preprocessing, feature engineering, and model evaluation
• Excellent problem-solving skills and the ability to apply ML techniques to real-world financial challenges
• Authorization to work in the United States without sponsorship for the duration of the internship
• Strong academic record with a minimum GPA of 3.2 or equivalent

Preferred Qualifications

• Prior internship or project experience in machine learning or AI within the financial services sector
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying ML models
• Knowledge of financial instruments, risk management, or wealth advisory processes
• Experience with AI agent development, such as reinforcement learning or multi-agent systems
• Participation in relevant hackathons, research projects, or publications in ML/AI

Required Skills

• Machine Learning Algorithms
• Python Programming
• TensorFlow or PyTorch
• Data Analysis and Visualization (e.g., Pandas, Matplotlib)
• SQL for Database Querying
• Feature Engineering and Model Optimization
• Natural Language Processing
• Cloud Computing (AWS/Azure)
• Version Control (Git)
• Problem-Solving and Analytical Thinking
• Communication and Collaboration
• Financial Acumen
• Regulatory Compliance Awareness
• Agile Development Methodologies
• Ethical AI Practices

Benefits

• Competitive hourly pay and potential for performance-based bonuses
• Comprehensive professional development through JP Morgan's renowned training programs and mentorship
• Exposure to senior leaders and real-world projects in a top-tier global financial institution
• Networking opportunities across Asset & Wealth Management divisions
• Access to state-of-the-art technology and resources for ML development
• Flexible work arrangements and support for work-life balance during the summer program
• Pathway to full-time opportunities upon graduation, including return offers for strong performers
• Health and wellness benefits, including access to employee assistance programs

JP Morgan Chase is an equal opportunity employer.