2026 Asset Wealth Management Machine Learning Engineer-Summer Associate

Location: Jersey City, NJ, United States

Job Family: Seasonal Employee

About the Role

Join JP Morgan Chase's 2026 Asset & Wealth Management Summer Associate Program as a Machine Learning Engineer and immerse yourself in the dynamic world of financial innovation. In this 10-12 week seasonal role based in Jersey City, NJ, you will work within a collaborative team of data scientists, quants, and business leaders to develop and deploy cutting-edge machine learning solutions that drive impactful outcomes in asset management and wealth advisory services. At JP Morgan, a global leader in financial services managing trillions in assets, you will tackle real business challenges such as enhancing portfolio risk models, personalizing client investment strategies, and leveraging AI for market predictions, all while gaining hands-on experience with proprietary datasets and advanced technologies. As a Machine Learning Engineer Summer Associate, your core responsibilities will include building scalable ML models using frameworks like TensorFlow and PyTorch, integrating them into JP Morgan's robust infrastructure, and collaborating on projects that support the firm's commitment to client-centric innovation. You will analyze vast financial datasets to uncover insights that inform wealth management decisions, ensuring models are robust, ethical, and compliant with industry regulations like those from the SEC. This role offers a unique opportunity to contribute to high-stakes initiatives, from natural language processing for sentiment analysis on market news to reinforcement learning for optimized trading algorithms, all within a supportive environment that fosters professional growth. The program is designed for top talent pursuing degrees in quantitative fields, providing not only technical depth but also exposure to the intersection of finance and technology. You will receive mentorship from seasoned professionals, participate in firm-wide events, and build a network that can propel your career forward. JP Morgan Chase values diversity and inclusion, offering a platform where your innovative ideas can shape the future of asset and wealth management. If you are passionate about applying machine learning to solve complex financial problems, this summer associate position is your gateway to a rewarding career at one of the world's most influential financial institutions.

Key Responsibilities

• Collaborate with cross-functional teams in Asset & Wealth Management to identify and define machine learning use cases that address key business challenges, such as portfolio optimization and risk assessment
• Develop and implement advanced machine learning models using techniques like supervised learning, deep learning, and natural language processing to analyze financial datasets
• Deploy scalable ML solutions in production environments, ensuring integration with JP Morgan's proprietary trading and advisory platforms
• Perform data preprocessing, feature engineering, and model evaluation on large-scale financial time-series data to enhance predictive accuracy
• Conduct experiments to optimize model performance, incorporating feedback from wealth management advisors and quantitative analysts
• Contribute to the innovation of AI-driven tools for client personalization in wealth management services
• Document methodologies, results, and insights, presenting findings to senior stakeholders in the Asset & Wealth Management division
• Assist in monitoring and maintaining deployed models to ensure reliability and compliance with regulatory standards in the financial sector
• Participate in code reviews and agile development practices within a collaborative team environment at JP Morgan Chase

Required Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field, with an expected graduation in 2026 or later
• Strong academic record with a minimum GPA of 3.2 on a 4.0 scale
• Proficiency in Python or R for machine learning model development and data analysis
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Demonstrated ability to work on data-driven projects, preferably in a financial or business context
• Authorization to work in the United States without sponsorship for the duration of the program
• Availability for a full-time summer internship from June to August 2026

Preferred Qualifications

• Prior internship or project experience in machine learning or AI within the financial services industry
• Knowledge of financial markets, asset management, or wealth management concepts
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for ML deployment
• Participation in data science competitions (e.g., Kaggle) or relevant hackathons
• Strong communication skills with experience presenting technical findings to non-technical stakeholders

Required Skills

• Machine Learning and AI fundamentals
• Python programming expertise
• Data analysis and visualization (e.g., Pandas, Matplotlib)
• Statistical modeling and inference
• Deep learning frameworks (TensorFlow, PyTorch)
• SQL for database querying
• Financial data handling and time-series analysis
• Model deployment and MLOps practices
• Problem-solving and analytical thinking
• Team collaboration and communication
• Agile methodologies
• Version control with Git
• Cloud computing basics (AWS or similar)
• Ethical AI and bias mitigation in financial applications
• Attention to detail in regulatory-compliant environments

Benefits

• Competitive hourly pay and potential for full-time conversion upon graduation
• Comprehensive professional development through JP Morgan's renowned training programs and mentorship from industry experts
• Exposure to cutting-edge financial technology and real-world projects in Asset & Wealth Management
• Networking opportunities with senior leaders and peers across JP Morgan Chase's global operations
• Paid housing assistance and relocation support for interns in Jersey City, NJ
• Access to JP Morgan's wellness programs, including mental health resources and fitness reimbursements
• Employee discounts on financial products and services through JP Morgan's wealth management offerings
• Diverse and inclusive work environment with commitment to employee resource groups and DEI initiatives

JP Morgan Chase is an equal opportunity employer.