2026 Asset Management Data Scientist - Summer Associate

Location: Hong Kong

Job Family: Seasonal Employee

About the Role

Join JP Morgan Chase's 2026 Asset Management Data Scientist Summer Associate program in Hong Kong and immerse yourself in the intersection of cutting-edge AI and global finance. As a Summer Associate, you will leverage your expertise in Natural Language Processing (NLP) and artificial intelligence to develop innovative solutions that drive actionable investment insights and streamline operational processes within our world-class Asset Management division. This 10-12 week program offers hands-on experience working on real client projects, collaborating with top-tier quants, portfolio managers, and technologists to harness data for superior investment decisions in Asia's vibrant financial hub. In this role, you will contribute to advanced AI initiatives, such as building NLP models to analyze unstructured data from financial news, earnings calls, and regulatory filings, enabling faster identification of market trends and risks. You will partner with cross-functional teams to automate repetitive tasks in investment research, enhancing efficiency and accuracy in portfolio construction and alpha generation. Under the guidance of seasoned mentors, you will apply machine learning techniques to large-scale datasets, supporting JP Morgan's commitment to data-driven strategies that serve institutional and high-net-worth clients worldwide. This program is designed for ambitious students passionate about quantitative finance and technology, providing unparalleled exposure to JP Morgan Chase's innovative culture and global resources. Based in our state-of-the-art Hong Kong office, you will gain insights into the unique dynamics of Asian markets while building a foundation for a career in asset management. Top performers may receive full-time offers, positioning you at the forefront of the firm's digital transformation in finance.

Key Responsibilities

• Develop and implement NLP models to extract insights from unstructured financial data, such as market reports and news articles
• Collaborate with asset management teams to automate investment research processes using AI-driven tools
• Analyze large datasets to identify patterns that inform portfolio optimization and risk assessment
• Build predictive models for asset pricing and market forecasting in the context of JP Morgan's global investment strategies
• Conduct data preprocessing, feature engineering, and model evaluation to ensure high-quality AI solutions
• Participate in cross-functional projects to integrate AI into client-facing investment platforms
• Document methodologies and present findings to senior stakeholders in the Asset Management division
• Contribute to innovation initiatives aimed at enhancing data-driven decision-making in Hong Kong's dynamic financial market
• Assist in testing and deploying machine learning models within JP Morgan's secure data environments

Required Qualifications

• Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field, with an expected graduation date in 2026 or later
• Strong academic record with a minimum GPA of 3.5 or equivalent
• Proficiency in Python or R for data analysis and machine learning
• Demonstrated experience with Natural Language Processing (NLP) techniques and AI/ML frameworks
• Eligibility to work in Hong Kong for the duration of the summer program
• Excellent English communication skills, both written and verbal

Preferred Qualifications

• Prior internship or project experience in financial services or asset management
• Knowledge of financial markets, investment strategies, or quantitative finance
• Familiarity with big data tools such as Hadoop, Spark, or cloud platforms like AWS or Azure
• Experience with generative AI models or large language models (LLMs)

Required Skills

• Python programming
• Machine Learning algorithms
• Natural Language Processing (NLP)
• Data analysis and visualization
• SQL for database querying
• Statistical modeling
• AI frameworks (e.g., TensorFlow, PyTorch)
• Big data processing (e.g., Spark, Hadoop)
• Problem-solving and analytical thinking
• Team collaboration and communication
• Financial data interpretation
• Model deployment and MLOps
• Version control (e.g., Git)
• Attention to detail in quantitative tasks
• Adaptability in fast-paced financial environments

Benefits

• Competitive hourly pay and performance-based bonuses for the 10-12 week summer program
• Hands-on mentorship from experienced data scientists and asset managers at JP Morgan Chase
• Exposure to real-world projects in a leading global financial institution
• Networking opportunities with professionals across JP Morgan's Asset Management and technology teams
• Professional development workshops on AI, finance, and career growth
• Relocation assistance and housing support for interns in Hong Kong
• Access to JP Morgan's wellness programs, including mental health resources and fitness reimbursements
• Potential pathway to full-time roles upon graduation, including return offers for top performers

JP Morgan Chase is an equal opportunity employer.