Lead Applied AI ML Data Scientist

Location: Jersey City, NJ, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence and machine learning to transform the financial services landscape. As a Lead Applied AI ML Data Scientist in our Predictive Science team, you will play a pivotal role in developing cutting-edge solutions that drive business value across our global operations. Based in Jersey City, NJ, this position offers the chance to lead innovative projects in areas such as predictive risk modeling, algorithmic trading optimization, and personalized customer experiences. You will work with vast datasets from our banking, investment, and asset management divisions to build models that enhance decision-making and operational efficiency in a highly regulated environment. Your responsibilities will include architecting end-to-end AI/ML workflows, from data ingestion and preprocessing to model training, validation, and deployment. Collaborating closely with engineers, analysts, and business leaders, you will translate complex financial challenges into actionable AI strategies, ensuring compliance with industry standards like those from the OCC and SEC. This role demands a blend of technical expertise and strategic thinking to innovate within the constraints of financial data privacy and security, ultimately contributing to JP Morgan Chase's mission of powering the progress of individuals and communities worldwide. We seek a visionary leader passionate about AI's potential in finance, with the ability to mentor teams and champion best practices in model governance. Join us to make a tangible impact on global markets, where your work will support sustainable growth and resilience in an ever-evolving industry. This is more than a job—it's an opportunity to shape the future of banking through predictive science.

Key Responsibilities

• Lead the development and deployment of advanced AI/ML models to solve complex business problems in areas like risk management, customer personalization, and fraud detection
• Collaborate with cross-functional teams including data engineers, product managers, and business stakeholders to define project scopes and deliverables
• Design, build, and optimize scalable machine learning pipelines using tools like TensorFlow, PyTorch, or scikit-learn
• Conduct data exploration, feature engineering, and model validation to ensure high accuracy and robustness in financial applications
• Mentor junior data scientists and foster a culture of innovation within the Predictive Science team
• Integrate AI solutions with JP Morgan Chase's core banking systems while adhering to strict regulatory standards
• Monitor and maintain deployed models, performing retraining and performance tuning as market conditions evolve
• Contribute to thought leadership by presenting findings and insights to senior leadership and at industry conferences
• Stay abreast of emerging AI trends and technologies to drive continuous improvement in predictive analytics
• Ensure ethical AI practices, including bias detection and mitigation in models impacting financial decisions

Required Qualifications

• Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field
• 5+ years of experience in applied machine learning and data science roles, preferably in financial services
• Proven track record of leading AI/ML projects from ideation to production deployment
• Strong proficiency in Python, R, or similar programming languages for data analysis and modeling
• Experience with large-scale data processing using tools like Spark, Hadoop, or cloud-based platforms
• Deep knowledge of machine learning algorithms, including supervised, unsupervised, and deep learning techniques
• Familiarity with regulatory compliance in financial AI applications, such as model risk management

Preferred Qualifications

• Experience in financial modeling, risk assessment, or fraud detection within banking
• Publications or contributions to open-source AI/ML projects
• Certification in AI/ML (e.g., AWS Certified Machine Learning or Google Professional Data Engineer)
• Background in natural language processing or computer vision applied to financial data
• Prior leadership of cross-functional teams in a global enterprise environment

Required Skills

• Machine Learning Frameworks (TensorFlow, PyTorch, scikit-learn)
• Big Data Technologies (Apache Spark, Hadoop, Kafka)
• Programming Languages (Python, R, SQL)
• Data Visualization Tools (Tableau, Matplotlib, Seaborn)
• Cloud Platforms (AWS, Azure, Google Cloud)
• Statistical Analysis and Hypothesis Testing
• Deep Learning and Neural Networks
• Natural Language Processing (NLP)
• Time Series Forecasting for Financial Data
• Model Deployment and MLOps (Docker, Kubernetes)
• Leadership and Team Management
• Problem-Solving and Critical Thinking
• Communication and Stakeholder Engagement
• Regulatory Knowledge in Finance (e.g., GDPR, Basel III)
• Ethical AI and Bias Mitigation Techniques

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 with tuition reimbursement and access to internal training programs
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers, wellness programs, and mental health support
• Flexible work arrangements including hybrid options in Jersey City, NJ

JP Morgan Chase is an equal opportunity employer.