Data Engineer III - Generative AI, Graph modelling

Location: Jersey City, NJ, United States

Job Family: Data Engineering

About the Role

At JP Morgan Chase, we are at the forefront of leveraging cutting-edge AI technologies to drive innovation in the financial services industry. As a Data Engineer III - Generative AI, Graph Modelling, you will join a dynamic agile team in Jersey City, NJ, tasked with designing and delivering market-leading AI products that enhance our capabilities in risk management, fraud detection, and market insights. Your role will involve building secure, scalable data infrastructures using advanced graph modeling techniques to support generative AI applications, ensuring our solutions meet the rigorous demands of global financial regulations and deliver real-time value to clients and stakeholders. In this position, you will architect complex graph databases to model intricate financial networks, such as transaction graphs for anti-money laundering or relationship graphs for investment advisory. Collaborating closely with data scientists, AI specialists, and business analysts, you will integrate generative AI models to generate synthetic data for scenario simulations or predictive analytics in capital markets. Your expertise will be crucial in optimizing data pipelines with tools like Apache Spark and cloud-native services, while upholding JP Morgan Chase's commitment to data privacy and cybersecurity in a highly regulated environment. We seek a seasoned professional passionate about AI innovation in finance, with a track record of delivering production-ready solutions. This role offers the opportunity to influence strategic AI initiatives at one of the world's largest financial institutions, contributing to products that power sustainable growth and client trust. Join us to shape the future of intelligent banking through groundbreaking graph and generative AI technologies.

Key Responsibilities

• Design and implement scalable graph data models to support generative AI applications for financial insights
• Develop and maintain data pipelines for processing large-scale financial datasets in a secure manner
• Collaborate with AI/ML teams to integrate graph-based features into generative models for market analysis
• Ensure data solutions comply with JP Morgan Chase's security protocols and regulatory requirements
• Optimize AI systems for performance, scalability, and reliability in agile sprints
• Conduct code reviews and mentor junior engineers on best practices in data engineering
• Analyze complex financial datasets to derive actionable insights using graph algorithms
• Deploy and monitor AI-driven products in cloud environments, troubleshooting production issues
• Contribute to innovation in AI technology, exploring new graph modeling techniques for risk and compliance
• Document technical designs and processes to support knowledge sharing across teams

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred
• 5+ years of experience in data engineering, with a focus on AI and machine learning pipelines
• Proven expertise in graph databases and modeling, such as Neo4j or Amazon Neptune
• Strong programming skills in Python, Java, or Scala, with experience in distributed computing frameworks like Spark
• Experience working in agile environments and delivering scalable data solutions in financial services
• Knowledge of secure data handling practices, including compliance with regulations like GDPR and SEC standards
• Demonstrated ability to collaborate with cross-functional teams in high-stakes financial environments

Preferred Qualifications

• Experience with generative AI models, such as transformers or diffusion models, in production environments
• Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI workloads
• Background in financial data modeling, including risk assessment or fraud detection using graph analytics
• Certifications in data engineering (e.g., Google Professional Data Engineer) or AI (e.g., AWS Certified Machine Learning)
• Prior work at a major financial institution, understanding of capital markets and trading systems

Required Skills

• Graph database management (Neo4j, JanusGraph)
• Generative AI frameworks (TensorFlow, PyTorch)
• Python and Java programming
• Apache Spark and Hadoop for big data processing
• SQL and NoSQL querying
• Cloud computing (AWS, Azure)
• Agile methodologies and CI/CD pipelines
• Data security and encryption techniques
• Machine learning model deployment
• Financial domain knowledge (risk modeling, compliance)
• Problem-solving and analytical thinking
• Team collaboration and communication
• Version control (Git)
• Containerization (Docker, Kubernetes)
• Performance optimization for AI systems

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, including tuition reimbursement and certifications
• Wellness programs with gym memberships and mental health support
• Employee stock purchase plan and financial planning services
• Flexible work arrangements, including hybrid options in Jersey City

JP Morgan Chase is an equal opportunity employer.