NLP Engineer-Sr. Associate

Location: Jersey City, NJ, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of transforming the financial services industry through innovative technology. As an NLP Engineer - Sr. Associate in our Predictive Science team, you will play a pivotal role in leveraging natural language processing to unlock insights from vast amounts of unstructured data. Based in our state-of-the-art Jersey City, NJ office, you will contribute to reshaping the future of banking by developing AI-driven solutions that enhance decision-making, mitigate risks, and drive customer-centric innovations. This position offers the opportunity to work on cutting-edge projects that directly impact global markets, from real-time sentiment analysis of financial news to automated compliance monitoring in trading operations. In this senior role, you will lead the design and implementation of sophisticated NLP models tailored to the complexities of the financial sector. Collaborating with elite teams of data scientists, quantitative analysts, and business leaders, you will integrate NLP technologies into JP Morgan's robust ecosystem, ensuring seamless scalability and adherence to stringent regulatory standards. Your expertise will be instrumental in processing diverse data sources such as earnings calls, social media feeds, and internal documents to predict market trends and detect anomalies, ultimately supporting our mission to deliver superior client experiences and operational efficiency. We seek a passionate innovator who thrives in a dynamic environment and is committed to ethical AI practices. Joining JP Morgan Chase means becoming part of a legacy of excellence, with access to world-class resources and a culture that values diversity, inclusion, and continuous learning. If you are ready to apply your NLP prowess to redefine financial intelligence, this is your chance to make a lasting impact at one of the world's leading financial institutions.

Key Responsibilities

• Design, develop, and deploy advanced NLP models to analyze unstructured financial data such as market reports, customer communications, and regulatory filings
• Collaborate with cross-functional teams including data scientists, quants, and business stakeholders to integrate NLP solutions into JP Morgan's predictive analytics platforms
• Optimize NLP pipelines for scalability and performance in high-volume trading and risk assessment environments
• Conduct research on state-of-the-art NLP techniques and apply them to enhance fraud detection and customer sentiment analysis in banking services
• Ensure compliance with financial regulations (e.g., GDPR, SEC) in all NLP model deployments
• Mentor junior engineers and contribute to the evolution of JP Morgan's AI/ML infrastructure
• Perform data preprocessing, feature engineering, and model evaluation using metrics like BLEU, ROUGE, or custom financial accuracy measures
• Stay abreast of emerging trends in AI and NLP to drive innovation in JP Morgan's predictive science initiatives
• Troubleshoot and resolve issues in production NLP systems to maintain 99.9% uptime for critical financial applications

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Linguistics, or a related field; Master's degree preferred
• 5+ years of professional experience in Natural Language Processing (NLP) or machine learning engineering
• Proficiency in Python and experience with NLP libraries such as spaCy, NLTK, or Hugging Face Transformers
• Strong understanding of machine learning frameworks like TensorFlow or PyTorch
• Experience with data processing pipelines and handling large-scale financial datasets
• Knowledge of financial services domain, including regulatory compliance and risk management
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment

Preferred Qualifications

• PhD in a relevant field with focus on NLP or AI
• Experience in developing NLP models for financial applications such as sentiment analysis or fraud detection
• Familiarity with cloud platforms like AWS, Azure, or GCP for deploying NLP solutions
• Publication record in NLP or machine learning conferences
• Experience with ethical AI practices and bias mitigation in financial models

Required Skills

• Natural Language Processing (NLP)
• Machine Learning and Deep Learning
• Python programming
• TensorFlow or PyTorch
• spaCy, NLTK, or Hugging Face
• Data preprocessing and feature engineering
• SQL and database management
• Cloud computing (AWS, Azure, GCP)
• Financial domain knowledge
• Regulatory compliance in finance
• Problem-solving and analytical thinking
• Collaboration and communication
• Model deployment and DevOps
• Ethical AI and bias detection
• Version control with Git

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 through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at Jersey City location
• Flexible work arrangements including hybrid remote options

JP Morgan Chase is an equal opportunity employer.