Applied AI/ML - Vice President

Location: Chicago, IL, 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 an Applied AI/ML Vice President 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 our Chicago office, you will lead initiatives to tackle complex problems such as predictive risk analytics, fraud prevention, and personalized client experiences. This position offers the opportunity to work with vast datasets from banking, investment, and asset management divisions, applying AI/ML to enhance decision-making and operational efficiency in a highly regulated environment. Your responsibilities will span the full lifecycle of AI projects, from scoping business needs with stakeholders in areas like corporate and investment banking to architecting robust ML models using state-of-the-art techniques. You will collaborate with multidisciplinary teams to integrate AI solutions into JP Morgan's proprietary platforms, ensuring they meet stringent security and compliance standards. Additionally, you will mentor emerging talent, contribute to the firm's AI strategy, and innovate on applications like natural language processing for market sentiment analysis or reinforcement learning for portfolio optimization. We seek a visionary leader passionate about the intersection of technology and finance, with a proven ability to deliver impactful results. Joining JP Morgan Chase means becoming part of a dynamic culture that values innovation, integrity, and inclusion. This role not only challenges you to push the boundaries of applied AI but also provides unparalleled resources and career growth opportunities within one of the world's leading financial institutions.

Key Responsibilities

• Lead the design, development, and deployment of AI/ML models to address complex challenges in risk management, fraud detection, and customer personalization within JP Morgan Chase
• Collaborate with business units to identify high-impact AI opportunities and translate requirements into technical solutions
• Oversee end-to-end ML pipelines, including data ingestion, feature engineering, model training, validation, and monitoring
• Mentor junior data scientists and engineers, fostering a culture of innovation and best practices in applied AI
• Ensure AI solutions comply with JP Morgan's risk management frameworks and regulatory requirements in the financial sector
• Conduct performance analysis and optimization of ML models to improve accuracy, scalability, and efficiency
• Integrate AI/ML technologies with existing JP Morgan systems, such as trading platforms or customer relationship management tools
• Stay abreast of emerging AI trends and evaluate their applicability to financial services innovations
• Present findings and recommendations to senior leadership to drive strategic decision-making
• Contribute to the firm's AI governance by developing ethical guidelines and bias mitigation strategies

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field
• 5+ years of experience in applied AI/ML development, with a focus on financial services or large-scale data environments
• Proven track record of leading AI/ML projects from ideation to production deployment
• Strong proficiency in Python, R, or Java for building scalable ML models
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Deep understanding of data privacy regulations like GDPR and financial compliance standards (e.g., SEC, FINRA)
• Ability to collaborate with cross-functional teams including data scientists, engineers, and business stakeholders

Preferred Qualifications

• PhD in a quantitative discipline with research publications in AI/ML
• Experience in financial modeling, risk assessment, or fraud detection using AI/ML
• Familiarity with cloud platforms like AWS, Azure, or GCP for ML operations
• Prior leadership role in agile teams developing AI solutions for banking or investment services
• Knowledge of explainable AI techniques and ethical AI practices in regulated industries

Required Skills

• Machine Learning Algorithms (e.g., supervised/unsupervised learning, deep learning)
• Python Programming and Data Manipulation (Pandas, NumPy)
• SQL and Big Data Technologies (Hadoop, Spark)
• Model Deployment and MLOps (Docker, Kubernetes)
• Statistical Analysis and Hypothesis Testing
• Financial Domain Knowledge (e.g., risk modeling, algorithmic trading)
• Data Visualization Tools (Tableau, Matplotlib)
• Cloud Computing (AWS SageMaker or equivalent)
• Version Control (Git) and Collaborative Development
• Problem-Solving and Critical Thinking
• Leadership and Team Management
• Communication and Stakeholder Engagement
• Ethical AI and Bias Detection
• Agile Methodologies
• Regulatory Compliance in Finance

Benefits

• Competitive base salary and performance-based annual bonus
• 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, such as tuition reimbursement and access to internal training programs
• Wellness programs including gym memberships and mental health support
• Employee stock purchase plan and financial planning services
• Flexible work arrangements, including hybrid options in Chicago

JP Morgan Chase is an equal opportunity employer.