2026 Machine Learning Center of Excellence (NLP) - Summer Associate

Location: New York, NY, United States

Job Family: Seasonal Employee

About the Role

Join the Machine Learning Center of Excellence (MLCOE) at JP Morgan Chase as a 2026 Summer Associate in our Natural Language Processing (NLP) team. As a global leader in financial services, JP Morgan Chase leverages advanced AI to drive innovation across investment banking, asset management, and consumer finance. The MLCOE is at the forefront of this transformation, employing state-of-the-art methods to tackle complex financial challenges using our unparalleled datasets. This 10-12 week summer program in New York, NY, offers you the chance to contribute to real-world projects that impact billions in assets, while gaining invaluable experience in a collaborative, high-impact environment. In this role, you will work alongside elite data scientists and ML engineers to build and deploy NLP models that unlock insights from unstructured data sources like market news, corporate disclosures, and client communications. Your contributions will directly support key business areas, such as enhancing fraud detection through sentiment analysis of transaction descriptions or predicting market volatility via earnings call transcriptions. Expect to dive into hands-on tasks, from data curation and model experimentation with tools like BERT and GPT, to evaluating performance against financial benchmarks. This position is ideal for rising talent passionate about AI's role in finance, providing exposure to JP Morgan's proprietary tools and methodologies that set us apart in the industry. Beyond technical work, the program emphasizes professional growth through structured mentorship, skill-building sessions on financial regulations and ethical AI, and networking with leaders across the firm. As a Seasonal Employee, you'll benefit from a supportive culture that values diversity and innovation, with opportunities to present your work to senior executives. This summer associate role not only builds your technical expertise but also offers a glimpse into full-time careers at one of the world's most admired financial institutions, where your ideas can shape the future of global finance.

Key Responsibilities

• Collaborate with the MLCOE team to develop and implement NLP models for analyzing unstructured financial data, such as news articles, earnings calls, and regulatory filings
• Apply state-of-the-art machine learning techniques to extract insights from JP Morgan's proprietary datasets for applications in risk assessment and investment strategies
• Assist in preprocessing and feature engineering of large-scale text corpora to support model training and evaluation
• Conduct experiments with transformer-based models like BERT or GPT variants to improve predictive accuracy in financial forecasting
• Work on real-world projects involving sentiment analysis for market trend prediction and anomaly detection in transaction narratives
• Document methodologies, results, and code implementations to contribute to team knowledge sharing and model reproducibility
• Participate in cross-functional meetings with traders, risk managers, and data scientists to align ML solutions with business needs
• Support the deployment of NLP models into production environments, ensuring scalability and compliance with JP Morgan's data governance standards
• Analyze model performance metrics and iterate on improvements to enhance decision-making in high-stakes financial scenarios
• Engage in mentorship sessions and present project findings to senior leadership at the program's conclusion

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 date in 2026 or later
• Strong academic record with a minimum GPA of 3.5 or equivalent
• Proficiency in Python programming and experience with machine learning frameworks such as TensorFlow or PyTorch
• Hands-on experience with Natural Language Processing (NLP) techniques, including text preprocessing, sentiment analysis, and transformer models
• Familiarity with financial datasets or basic understanding of financial markets and instruments
• Ability to work collaboratively in a team environment and communicate technical concepts effectively
• Authorization to work in the United States for the duration of the summer program

Preferred Qualifications

• Prior internship or project experience in machine learning or data science within the financial services sector
• Knowledge of large language models (LLMs) and their applications in finance, such as fraud detection or market sentiment analysis
• Experience with cloud computing platforms like AWS, Azure, or Google Cloud for ML deployments
• Participation in relevant competitions or hackathons focused on AI/ML in finance
• Basic understanding of regulatory compliance in financial data handling, such as GDPR or SEC guidelines

Required Skills

• Proficiency in Python and R for data manipulation and analysis
• Expertise in NLP libraries such as NLTK, spaCy, Hugging Face Transformers
• Machine learning fundamentals, including supervised/unsupervised learning and deep learning
• Data preprocessing and feature engineering for text and tabular data
• Statistical analysis and hypothesis testing for model validation
• Version control with Git and collaborative coding practices
• Cloud-based ML workflows (e.g., AWS SageMaker or similar)
• Problem-solving and analytical thinking in complex financial contexts
• Strong communication skills for presenting technical results to non-technical stakeholders
• Attention to detail in handling sensitive financial data
• Adaptability to fast-paced, innovative environments
• Team collaboration and interpersonal skills
• Basic knowledge of SQL for querying financial databases
• Familiarity with ethical AI principles and bias mitigation in NLP models
• Time management to balance multiple project deliverables

Benefits

• Competitive hourly compensation aligned with industry standards for summer associates at JP Morgan Chase
• Hands-on experience with cutting-edge ML technologies and access to JP Morgan's vast financial datasets
• Mentorship from world-class machine learning experts and senior leaders in the financial services industry
• Professional development workshops on topics like ethical AI, financial modeling, and career growth in fintech
• Networking opportunities with peers and alumni through JP Morgan's global community events
• Relocation assistance for eligible candidates, including housing stipends for the New York summer program
• Comprehensive health and wellness benefits, including medical, dental, and vision coverage during the internship
• Potential pathway to full-time opportunities upon successful completion of the program and degree attainment

JP Morgan Chase is an equal opportunity employer.