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

Location: LONDON, United Kingdom

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 world-class machine learning group, MLCOE leverages state-of-the-art methods and JP Morgan's unparalleled financial datasets to tackle pressing challenges in the banking and capital markets sectors. Based in our dynamic London office, this 10-12 week seasonal role offers you the chance to contribute to innovative projects that drive smarter risk assessment, enhance fraud detection, and inform investment strategies using advanced NLP techniques on unstructured data like corporate disclosures and market news. In this position, you will work alongside leading ML engineers and data scientists to design, build, and deploy NLP models that process vast amounts of textual financial information. Expect to dive into real-world applications, such as sentiment analysis for trading signals or automated compliance checks for regulatory texts, utilizing JP Morgan's proprietary data assets. Your contributions will directly impact the firm's global operations, providing exposure to the intersection of cutting-edge technology and high-stakes finance. This role is ideal for graduate students passionate about applying machine learning to solve industry-specific problems in a collaborative, supportive environment. As part of JP Morgan Chase's commitment to nurturing top talent, the Summer Associate program includes structured learning sessions, one-on-one mentorship, and opportunities to present your work to senior leadership. You'll gain invaluable insights into the financial services landscape while honing your technical skills in a firm renowned for innovation and integrity. Successful interns may be considered for full-time roles post-graduation, paving the way for a rewarding career at one of the world's leading financial institutions.

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 solve complex problems in risk management, fraud detection, and investment advisory within JP Morgan Chase's global operations
• Leverage JP Morgan's proprietary datasets to build predictive models that enhance decision-making in capital markets and corporate banking
• Conduct data preprocessing, feature engineering, and model evaluation to ensure high-performance NLP solutions
• Work closely with cross-functional teams including data engineers, domain experts, and business stakeholders to integrate ML models into production systems
• Participate in research initiatives to explore emerging NLP advancements and their applications to financial services
• Document methodologies, results, and insights to contribute to internal knowledge sharing and potential publications
• Assist in deploying scalable ML pipelines using JP Morgan's infrastructure, ensuring compliance with regulatory standards in the financial industry
• Analyze model performance metrics and iterate on solutions to improve accuracy and efficiency in financial applications

Required Qualifications

• Currently enrolled in a Master's or PhD program in Computer Science, Data Science, Machine Learning, or a related quantitative field, with an expected graduation 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
• Demonstrated experience in natural language processing (NLP) techniques, including transformers, BERT, or similar models
• Ability to work legally in the UK for the duration of the summer internship
• Excellent problem-solving skills and a passion for applying ML to real-world financial challenges

Preferred Qualifications

• Prior internship or research experience in machine learning or NLP within the financial services sector
• Familiarity with financial datasets, such as market data, transaction records, or regulatory texts
• Experience with cloud computing platforms like AWS, GCP, or Azure for ML deployments
• Publication or contributions to open-source ML projects

Required Skills

• Proficiency in Python and R for data analysis and modeling
• Expertise in NLP libraries such as Hugging Face Transformers, spaCy, or NLTK
• Knowledge of deep learning architectures, including RNNs, LSTMs, and attention mechanisms
• Experience with version control systems like Git and collaborative development tools
• Strong understanding of financial concepts, such as market risk, credit analysis, and sentiment analysis in trading
• Data visualization skills using tools like Matplotlib, Seaborn, or Tableau
• Familiarity with SQL and big data technologies like Hadoop or Spark for handling large-scale financial datasets
• Analytical mindset with the ability to interpret complex datasets and derive actionable insights
• Excellent communication skills for presenting technical findings to non-technical stakeholders
• Team collaboration and adaptability in a fast-paced, innovative environment
• Problem-solving abilities in ambiguous scenarios typical of financial ML applications
• Attention to detail in model validation and ethical AI considerations, including bias mitigation in NLP
• Basic knowledge of regulatory frameworks like GDPR and financial compliance standards

Benefits

• Competitive hourly pay rate commensurate with experience and location
• Comprehensive professional development through mentorship from senior ML experts at JP Morgan Chase
• Exposure to cutting-edge financial technologies and real-world projects impacting global markets
• Networking opportunities with industry leaders and peers in the JP Morgan ML community
• Paid relocation assistance for eligible candidates moving to London
• Access to JP Morgan's wellness programs, including mental health support and fitness reimbursements
• Potential for full-time conversion upon successful completion of the program
• Subsidized housing options and transportation benefits in London

JP Morgan Chase is an equal opportunity employer.