Applied AI ML Senior Associate

Location: Wilmington, DE, United States

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of innovation in financial services, leveraging cutting-edge technology to deliver exceptional value to our clients. As an Applied AI ML Senior Associate in our Card Product Configuration & Support team, you will play a pivotal role in enhancing our credit card offerings through predictive science. Based in Wilmington, DE, this position involves developing sophisticated AI and machine learning models to drive personalized customer experiences, optimize product configurations, and support robust fraud prevention strategies. You will work within a dynamic team that bridges data science and product development, contributing to the bank's mission of reimagining the future of banking in a secure and compliant manner. Your primary focus will be on applying advanced ML techniques to analyze vast datasets from card transactions and customer interactions, enabling predictive insights that inform product decisions and improve operational efficiency. Responsibilities include building scalable models for customer segmentation, risk assessment, and automated support processes, while ensuring adherence to stringent financial regulations. You will collaborate closely with cross-functional teams, including product managers, engineers, and compliance experts, to integrate AI solutions seamlessly into our card ecosystem. This role demands a blend of technical expertise and business acumen to translate complex data into actionable strategies that enhance client satisfaction and drive revenue growth. JPMorgan Chase offers a collaborative culture that values innovation and professional growth, providing you with the tools and resources to excel in applied AI within the financial sector. Join us to make a tangible impact on one of the world's leading financial institutions, where your contributions will help shape the next generation of card products and services.

Key Responsibilities

• Develop and deploy advanced AI/ML models to optimize card product configurations, such as personalized offers and risk assessments
• Collaborate with product managers and data scientists to identify opportunities for predictive analytics in credit card support
• Design and implement scalable data pipelines for processing transaction data and customer behavior insights
• Conduct model validation, testing, and monitoring to ensure accuracy and compliance with JPMorgan Chase's risk standards
• Analyze large datasets from card transactions to build predictive models for fraud detection and customer segmentation
• Integrate AI solutions into existing card product systems, enhancing automation and decision-making processes
• Mentor junior associates on best practices in applied AI/ML within the financial services domain
• Stay abreast of emerging AI technologies and regulatory changes impacting banking products
• Prepare technical documentation and present findings to senior stakeholders on model performance and business impact

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field; Master's degree preferred
• 5+ years of experience in applied AI/ML development and deployment in a production environment
• Proven track record in building and scaling machine learning models for financial services applications
• Strong programming proficiency in Python, R, or Java, with experience in ML frameworks like TensorFlow or PyTorch
• Experience with data pipelines, ETL processes, and handling large-scale financial datasets
• Knowledge of regulatory compliance in financial services, including data privacy standards like GDPR and CCPA
• Ability to collaborate with cross-functional teams in a fast-paced banking environment

Preferred Qualifications

• Advanced degree (Master's or PhD) in AI, Machine Learning, or a quantitative field
• Experience in credit card products, fraud detection, or customer personalization in fintech
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for ML operations
• Certifications in machine learning (e.g., Google Professional ML Engineer) or data science
• Prior work at a major financial institution with exposure to risk modeling or predictive analytics

Required Skills

• Machine Learning Algorithms (e.g., regression, clustering, neural networks)
• Python Programming and Data Manipulation (Pandas, NumPy)
• SQL and Database Querying for Financial Data
• Model Deployment and MLOps (Docker, Kubernetes)
• Statistical Analysis and Hypothesis Testing
• Big Data Technologies (Hadoop, Spark)
• Cloud Computing (AWS SageMaker or equivalent)
• Fraud Detection and Risk Modeling Techniques
• Data Visualization (Tableau, Matplotlib)
• Agile Methodologies and Cross-Functional Collaboration
• Problem-Solving and Analytical Thinking
• Communication Skills for Technical and Business Audiences
• Regulatory Knowledge in Fintech (e.g., fair lending, AML)
• Version Control (Git) and CI/CD Pipelines
• Ethical AI Practices and Bias Mitigation

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 JPMorgan Chase's learning platforms
• Employee stock purchase plan and financial wellness programs
• On-site fitness centers and wellness initiatives at Wilmington facilities
• Flexible work arrangements, including hybrid options for work-life balance

JP Morgan Chase is an equal opportunity employer.