Machine Learning Scientist - NLP - Senior Associate - Machine Learning Center of Excellence

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, the Machine Learning Center of Excellence (MLCOE) is at the forefront of leveraging cutting-edge machine learning to tackle complex financial challenges. As a Machine Learning Scientist - NLP - Senior Associate, you will join a world-class team that harnesses state-of-the-art methods and JP Morgan's unparalleled datasets to drive innovation in predictive science. Based in New York, NY, this role focuses on natural language processing applications within the financial services industry, where you'll contribute to solutions that enhance risk assessment, regulatory compliance, and investment decision-making. Our unique access to vast financial corpora enables groundbreaking work in areas like sentiment analysis of market news and extraction of insights from unstructured regulatory documents. In this position, you will design, build, and deploy sophisticated NLP models using advanced techniques such as transformer architectures and large language models, tailored specifically to the nuances of financial text. You'll collaborate closely with data engineers, domain experts, and business stakeholders to integrate these models into JP Morgan's robust technology ecosystem, ensuring they deliver actionable intelligence for trading strategies, fraud detection, and customer experience personalization. The role demands a blend of research acumen and practical engineering, as you'll iterate on models to achieve high accuracy in real-world financial scenarios while adhering to strict data privacy and ethical standards. Joining the MLCOE means becoming part of a dynamic, supportive environment that values innovation and professional growth. You'll have opportunities to publish findings, present at internal forums, and influence JP Morgan's AI strategy. With a commitment to diversity and inclusion, we foster a collaborative culture where your expertise in NLP can make a tangible impact on global finance. If you're passionate about applying machine learning to solve real-world problems in banking, this senior associate role offers the platform to advance your career at one of the world's leading financial institutions.

Key Responsibilities

• Develop and implement advanced NLP models to analyze unstructured financial data, such as earnings calls, news articles, and regulatory filings
• Collaborate with data scientists and engineers in the MLCOE to integrate NLP solutions into JP Morgan's predictive analytics platforms
• Conduct research on state-of-the-art NLP techniques, including transformers and large language models, tailored to financial problem-solving
• Evaluate model performance using metrics like precision, recall, and F1-score, ensuring robustness in high-stakes financial applications
• Work with cross-functional teams to deploy NLP models into production systems, optimizing for scalability and real-time processing
• Analyze unique JP Morgan datasets to uncover insights for risk management, investment strategies, and customer personalization
• Stay abreast of emerging trends in AI and NLP, applying them to enhance fraud detection and market sentiment analysis
• Mentor junior associates and contribute to the MLCOE's knowledge-sharing initiatives
• Ensure all models comply with JP Morgan's ethical AI guidelines and financial regulatory standards

Required Qualifications

• PhD or Master's degree in Computer Science, Statistics, Applied Mathematics, or a related field with a focus on machine learning or natural language processing
• 3+ years of professional experience in developing and deploying NLP models in a production environment
• Strong proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
• Demonstrated experience with large-scale datasets and financial domain applications, such as sentiment analysis on market data or regulatory text processing
• Proven track record of publishing research or contributing to open-source projects in NLP
• Excellent problem-solving skills and ability to work in cross-functional teams within a fast-paced financial services environment

Preferred Qualifications

• Experience with financial NLP tasks, including named entity recognition for compliance or topic modeling for risk assessment
• Familiarity with cloud platforms like AWS or Azure for scalable ML deployments in banking applications
• Background in handling sensitive financial data with adherence to regulations like GDPR and SEC guidelines
• Prior internship or role at a major financial institution, with exposure to algorithmic trading or fraud detection

Required Skills

• Natural Language Processing (NLP)
• Machine Learning Algorithms
• Python Programming
• TensorFlow or PyTorch
• Data Preprocessing and Feature Engineering
• Model Evaluation and Validation
• Financial Data Analysis
• Sentiment Analysis
• Named Entity Recognition
• Large Language Models
• Cloud Computing (AWS/Azure)
• Version Control (Git)
• Cross-Functional Collaboration
• Problem-Solving
• Regulatory Compliance Awareness

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• Paid time off, including vacation, sick days, and parental leave
• Professional development opportunities, such as tuition reimbursement and access to internal training programs
• Wellness programs including gym memberships and mental health support
• Employee stock purchase plan and financial planning services
• Flexible work arrangements, including hybrid options in New York

JP Morgan Chase is an equal opportunity employer.