Applied AI/ML - Vice President

Location: Jersey City, NJ, United States

Job Family: Predictive Science

About the Role

At JP Morgan Chase, we are at the forefront of leveraging technology 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 AI and machine learning solutions that drive business value across our global operations. Based in Jersey City, NJ, you will lead initiatives to solve complex problems in areas such as credit risk assessment, algorithmic trading, customer behavior prediction, and anti-money laundering efforts. Your work will directly contribute to enhancing client experiences, optimizing operational efficiency, and maintaining our leadership in the banking industry while adhering to stringent regulatory standards. In this leadership position, you will collaborate with elite teams of data scientists, software engineers, and domain experts to architect and deploy scalable ML models using state-of-the-art tools and frameworks. You will be responsible for end-to-end project management, from data ingestion and feature engineering to model validation and production integration, ensuring solutions are robust, interpretable, and compliant with financial regulations like those from the SEC and FDIC. Opportunities abound to innovate with big data technologies and cloud platforms, tackling real-world challenges that impact millions of customers and trillions in assets under management at JP Morgan Chase. We seek a visionary leader passionate about AI's potential in finance, with the ability to bridge technical expertise and business acumen. Join us to advance your career in a dynamic environment that values innovation, diversity, and impact. This role offers not only intellectual stimulation but also the chance to shape the future of banking through responsible AI applications.

Key Responsibilities

• Lead the development and deployment of AI/ML models to address complex business challenges in areas like risk management, customer personalization, and fraud prevention at JP Morgan Chase
• Collaborate with cross-functional teams including data scientists, engineers, and business stakeholders to define project scopes and deliverables
• Design and implement scalable ML pipelines for processing financial datasets, ensuring model accuracy, robustness, and compliance with internal and regulatory standards
• Conduct advanced analytics and predictive modeling to drive insights for investment banking, asset management, and consumer banking divisions
• Mentor junior team members and foster a culture of innovation in applied AI within the Predictive Science group
• Evaluate and integrate emerging AI technologies to enhance JP Morgan's competitive edge in the financial services industry
• Monitor model performance in production, perform retraining as needed, and mitigate biases to ensure fair and ethical AI outcomes
• Present findings and recommendations to senior leadership, translating technical results into actionable business strategies
• Stay abreast of industry trends in AI/ML and financial regulations to proactively adapt solutions

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 programming proficiency in Python, R, or Java, with experience in ML frameworks like TensorFlow, PyTorch, or Scikit-learn
• Deep understanding of machine learning algorithms, including supervised, unsupervised, and deep learning techniques
• Experience with data pipelines, ETL processes, and handling large datasets in cloud environments like AWS or Azure
• Familiarity with regulatory compliance in financial services, such as GDPR, CCPA, or SEC guidelines for AI applications

Preferred Qualifications

• PhD in a quantitative discipline with research publications in AI/ML
• Experience in fraud detection, risk modeling, or algorithmic trading within banking or fintech
• Certification in AI/ML (e.g., Google Professional Machine Learning Engineer or AWS Certified Machine Learning)
• Prior leadership role in cross-functional teams at a major financial institution
• Knowledge of explainable AI (XAI) and ethical AI practices in regulated industries

Required Skills

• Machine Learning Algorithms
• Deep Learning Frameworks (TensorFlow, PyTorch)
• Python Programming
• Data Pipeline Development
• Big Data Technologies (Hadoop, Spark)
• Statistical Modeling
• Cloud Computing (AWS, Azure)
• SQL and Database Management
• Risk and Fraud Analytics
• Explainable AI Techniques
• Project Leadership and Team Management
• Stakeholder Communication
• Problem-Solving in Financial Contexts
• Regulatory Compliance Knowledge
• Agile Methodologies

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 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.