Applied AI ML VP

Location: Bengaluru, Karnataka, India

Job Family: Predictive Science

About the Role

At JPMorgan Chase, we are at the forefront of leveraging applied AI and machine learning to safeguard our clients' assets in the dynamic financial services landscape. As the Applied AI ML VP and Lead of Fraud Vendor Modeling in our Predictive Science team, you will play a pivotal role in enhancing our fraud prevention capabilities. Based in Bengaluru, Karnataka, India, this position involves leading initiatives to integrate advanced AI models with vendor partnerships, ensuring robust detection of fraudulent activities across our global transaction networks. You will drive the strategic application of predictive analytics to minimize financial losses while maintaining seamless customer experiences, all within the highly regulated environment of banking. Your core responsibilities will include spearheading the design, development, and deployment of sophisticated ML models tailored for fraud detection, utilizing JPMorgan Chase's proprietary datasets comprising billions of transactions. You will collaborate closely with cross-functional teams, including risk management, data engineering, and external vendors, to innovate on real-time fraud scoring systems that adapt to evolving threats like synthetic identity fraud and payment scams. By overseeing model lifecycle management—from ideation and prototyping to production monitoring—you will ensure our solutions deliver high accuracy and scalability, directly contributing to the firm's commitment to secure and innovative financial services. This role demands a blend of technical expertise and leadership acumen, where you will mentor a talented team of AI specialists and foster partnerships that amplify our predictive science efforts. At JPMorgan Chase, you will have access to cutting-edge resources, including state-of-the-art computing infrastructure and a collaborative culture that values diverse perspectives. Join us to make a tangible impact on global finance, protecting millions of customers while advancing your career in one of the world's leading financial institutions.

Key Responsibilities

• Lead the development and implementation of AI/ML models for fraud vendor partnerships, focusing on predictive analytics to detect and prevent financial fraud
• Oversee a team of data scientists and ML engineers in building scalable, production-ready models using JPMorgan Chase's vast transaction datasets
• Collaborate with internal stakeholders and external vendors to integrate third-party AI solutions into Chase's fraud detection ecosystem
• Design and optimize machine learning pipelines for real-time fraud scoring, ensuring low false positives and high detection rates
• Conduct model validation, performance monitoring, and A/B testing to maintain model efficacy in dynamic financial environments
• Drive innovation in applied AI for fraud prevention, incorporating advanced techniques like graph neural networks or ensemble methods
• Ensure compliance with JPMorgan Chase's data governance policies and financial regulations in all modeling activities
• Mentor junior team members and foster a culture of continuous learning in predictive science
• Analyze emerging fraud patterns in the financial services industry and adapt models accordingly
• Present findings and recommendations to senior leadership on AI/ML strategies for fraud mitigation

Required Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field
• 8+ years of experience in applied machine learning, with a focus on fraud detection or risk modeling in financial services
• Proven track record leading teams in developing and deploying AI/ML models at scale
• Deep expertise in predictive modeling techniques, including supervised and unsupervised learning
• Strong programming skills in Python, R, or Java, with experience in ML frameworks like TensorFlow or PyTorch
• Experience with big data technologies such as Hadoop, Spark, or cloud platforms like AWS or Azure
• Familiarity with regulatory requirements in financial fraud prevention, such as PCI DSS or AML standards

Preferred Qualifications

• Experience in vendor management and collaborating with external AI/ML partners in the financial sector
• Background in real-time fraud detection systems using streaming data pipelines
• Publications or contributions to open-source ML projects related to anomaly detection
• Knowledge of explainable AI techniques for model interpretability in regulated environments
• Prior role at a major financial institution handling high-volume transaction fraud modeling

Required Skills

• Machine Learning Algorithms
• Deep Learning Frameworks (TensorFlow, PyTorch)
• Python Programming
• Big Data Processing (Spark, Hadoop)
• Statistical Modeling and Analysis
• Fraud Detection Techniques
• Data Pipeline Development
• Cloud Computing (AWS, Azure)
• Model Deployment and MLOps
• SQL and Database Management
• Leadership and Team Management
• Problem-Solving in High-Stakes Environments
• Communication and Stakeholder Engagement
• Regulatory Compliance Knowledge
• Anomaly Detection and Time-Series Analysis

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance coverage
• 401(k) retirement savings plan with generous company matching
• Paid time off, including vacation, sick leave, and parental leave
• Professional development opportunities, such as tuition reimbursement and access to JPMorgan Chase's internal training programs
• Employee stock purchase plan and financial wellness resources
• Flexible work arrangements, including hybrid options in Bengaluru
• On-site wellness programs and mental health support services

JP Morgan Chase is an equal opportunity employer.