Sr. Machine Learning Engineer

Location: New York, NY, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging artificial intelligence to transform financial services, serving millions of customers who rely on our innovative banking solutions. As a Sr. Machine Learning Engineer in our Predictive Science team, you will lead a dedicated group of engineers in New York, NY, to build cutting-edge ML models that drive personalized customer experiences, enhance fraud prevention, and optimize risk management. Your work will directly impact the lives of our clients by powering intelligent systems that anticipate needs and safeguard assets in a dynamic financial landscape. This role offers the opportunity to collaborate with top-tier talent across Chase's global operations, contributing to initiatives that redefine how we use data to deliver value in retail banking, investment services, and beyond. In this leadership position, you will architect scalable ML pipelines using state-of-the-art tools and frameworks, ensuring seamless integration with Chase's secure, high-volume data ecosystems. You will guide the team through the full ML lifecycle—from data ingestion and feature engineering to model training, validation, and deployment—while adhering to stringent regulatory requirements unique to the financial industry, such as data sovereignty and ethical AI practices. Expect to tackle complex challenges like real-time predictive analytics for transaction monitoring and customer behavior forecasting, all while fostering innovation in a collaborative, agile environment that values diverse perspectives. Joining JP Morgan Chase means becoming part of a prestigious institution committed to excellence and inclusion. We provide robust resources for professional growth, including access to advanced computing infrastructure and partnerships with leading AI research communities. If you are passionate about applying machine learning to solve real-world financial problems and ready to make a lasting impact, this role at Chase is your chance to lead transformative projects that empower millions.

Key Responsibilities

• Lead a team of machine learning engineers in developing and deploying predictive models for Chase's customer services
• Design and implement scalable ML pipelines to analyze vast datasets from millions of customer interactions
• Collaborate with data scientists, product managers, and compliance teams to ensure models meet regulatory standards
• Optimize ML models for real-time applications in fraud detection and risk assessment
• Conduct experiments and A/B testing to improve model accuracy and business outcomes
• Mentor junior engineers and foster a culture of innovation in predictive science
• Integrate ML solutions with Chase's core banking platforms to enhance customer experiences
• Monitor and maintain deployed models, addressing performance issues and retraining as needed
• Stay abreast of emerging ML trends and apply them to financial services challenges
• Contribute to the strategic roadmap for AI-driven initiatives at JP Morgan Chase

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field; Master's or PhD preferred
• 5+ years of experience in machine learning engineering, with a focus on scalable ML systems
• Proven track record of deploying ML models in production environments, particularly in financial services
• Strong proficiency in Python, R, or Java for ML development and data processing
• Experience with cloud platforms such as AWS, GCP, or Azure for ML workflows
• Deep understanding of data privacy regulations like GDPR and financial compliance standards (e.g., SOX, PCI-DSS)
• Ability to lead cross-functional teams in agile environments

Preferred Qualifications

• Experience in fraud detection, risk modeling, or personalized financial recommendations in banking
• Familiarity with big data technologies like Hadoop, Spark, or Kafka
• Advanced knowledge of deep learning frameworks such as TensorFlow or PyTorch
• Prior work at a major financial institution or fintech company
• Publications or contributions to open-source ML projects

Required Skills

• Machine Learning Algorithms (e.g., regression, classification, clustering)
• Deep Learning and Neural Networks
• Python Programming
• SQL and Data Querying
• Big Data Tools (Spark, Hadoop)
• Cloud Computing (AWS, Azure)
• Model Deployment (Docker, Kubernetes)
• Version Control (Git)
• Statistical Analysis and Hypothesis Testing
• Data Visualization (Tableau, Matplotlib)
• Leadership and Team Management
• Problem-Solving in High-Stakes Environments
• Communication and Stakeholder Engagement
• Agile Methodologies
• Financial Domain Knowledge (Risk, Compliance)

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 leadership training
• Employee stock purchase plan and financial wellness programs
• On-site fitness centers, wellness stipends, and mental health support
• Flexible work arrangements, including hybrid options in New York

JP Morgan Chase is an equal opportunity employer.