Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence

Location: Seattle, WA, 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 intricate financial challenges. As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President in our Predictive Science category, you will join a world-class team in Seattle, WA, utilizing state-of-the-art methods and JP Morgan's unparalleled datasets to drive innovation in areas like risk management, fraud detection, and market intelligence. This role offers the opportunity to apply advanced NLP techniques to real-world financial problems, contributing to the firm's position as a leader in AI-driven financial services. Your primary focus will be on developing sophisticated NLP models to process and analyze vast amounts of unstructured data, including corporate disclosures, social media sentiment, and trading communications. You will collaborate closely with data scientists, engineers, and business leaders to build scalable solutions that enhance predictive accuracy and inform strategic decisions. Responsibilities include experimenting with transformer-based models and large language models adapted for financial contexts, ensuring robustness against market volatility and regulatory scrutiny. In this Vice President-level position, you will also play a key role in mentoring team members and fostering a culture of continuous learning within the MLCOE. With access to JP Morgan's global resources and datasets, you will have the platform to push the boundaries of NLP in finance, delivering tangible business value while advancing your expertise in a dynamic, supportive environment. If you are passionate about using AI to transform the financial industry, this role at JP Morgan Chase provides an unparalleled opportunity to make a lasting impact.

Key Responsibilities

• Design, develop, and deploy advanced NLP models to extract insights from unstructured financial data such as news articles, earnings calls, and regulatory filings
• Collaborate with cross-functional teams including data engineers, product managers, and business analysts to solve complex financial problems
• Conduct research and experimentation with state-of-the-art NLP techniques, including transformers, LLMs, and multimodal models tailored to financial contexts
• Optimize ML models for performance, scalability, and interpretability in high-stakes financial applications
• Analyze and preprocess large-scale datasets from JP Morgan's proprietary sources to improve model accuracy
• Stay abreast of emerging trends in NLP and machine learning, applying them to enhance predictive capabilities in areas like market forecasting and customer sentiment
• Contribute to the MLCOE's knowledge base by documenting methodologies and sharing best practices
• Ensure models adhere to ethical AI principles and financial regulatory standards
• Mentor junior scientists and interns on NLP projects within the financial domain
• Present findings and model impacts to senior leadership to drive business decisions

Required Qualifications

• Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a related quantitative field
• 5+ years of professional experience in machine learning, with a focus on natural language processing
• Proven track record of developing and deploying NLP models in production environments
• Strong programming skills in Python, including experience with ML frameworks like TensorFlow or PyTorch
• Experience working with large-scale financial datasets and understanding of financial markets
• Ability to collaborate in cross-functional teams within a fast-paced financial services environment
• Excellent communication skills to explain complex ML concepts to non-technical stakeholders

Preferred Qualifications

• Experience in financial services, particularly in areas like fraud detection, risk assessment, or sentiment analysis of market data
• Publications in top-tier NLP conferences such as ACL, EMNLP, or NeurIPS
• Familiarity with cloud platforms like AWS or Azure for scalable ML deployments
• Knowledge of regulatory compliance in financial ML applications (e.g., GDPR, SEC guidelines)
• Prior experience leading small teams or mentoring junior data scientists

Required Skills

• Proficiency in Python and R for data analysis and model development
• Expertise in NLP libraries such as Hugging Face Transformers, spaCy, and NLTK
• Deep learning frameworks including TensorFlow, PyTorch, and Keras
• Experience with vector databases and embedding techniques for semantic search in financial texts
• Statistical modeling and evaluation metrics (e.g., BLEU, ROUGE, F1-score) for NLP tasks
• Data preprocessing and feature engineering for unstructured text data
• Cloud computing skills with AWS SageMaker or Google Cloud AI for ML pipelines
• Version control and collaboration tools like Git and Jupyter Notebooks
• Problem-solving and analytical thinking in ambiguous financial scenarios
• Strong written and verbal communication for technical documentation and stakeholder presentations
• Team collaboration and leadership in agile environments
• Knowledge of ethical AI and bias mitigation in ML models
• Familiarity with big data tools like Hadoop, Spark for handling financial datasets
• Understanding of time-series analysis integrated with NLP for market predictions
• Adaptability to fast-paced, innovative settings in the financial services sector

Benefits

• Competitive base salary and performance-based bonuses aligned with financial industry standards
• Comprehensive health, dental, and vision insurance plans for employees and families
• 401(k) retirement savings plan with generous company matching contributions
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities, including tuition reimbursement and access to internal ML training programs
• Wellness programs with gym memberships, mental health support, and employee assistance services
• Flexible work arrangements, including hybrid options in Seattle and remote work flexibility
• Stock purchase plan and employee discounts on JP Morgan financial products

JP Morgan Chase is an equal opportunity employer.