Applied AI ML Senior Associate

Location: Bengaluru, Karnataka, India

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 financial services, powering everything from personalized banking experiences to sophisticated risk management strategies. As an Applied AI/ML Senior Associate in our Predictive Science team based in Bengaluru, Karnataka, India, you will play a pivotal role in developing cutting-edge AI solutions that drive business value across our global operations. This position offers the opportunity to work on high-impact projects in a collaborative environment, contributing to innovations that enhance client trust and operational excellence in investment banking, consumer finance, and beyond. Your primary focus will be on applying advanced ML techniques to real-world financial challenges, such as predicting market trends, detecting anomalous transactions, and optimizing portfolio management. You will partner with cross-functional teams—including data engineers, product managers, and compliance experts—to build robust, scalable models that integrate seamlessly with JP Morgan's proprietary platforms. Emphasizing ethical AI practices, you will ensure models are transparent, bias-mitigated, and compliant with stringent regulations like those from the RBI and SEC, all while iterating on solutions to deliver measurable outcomes like reduced fraud losses or improved customer engagement. This role demands a blend of technical expertise and business acumen, where you will not only deploy models but also communicate their impact to senior stakeholders. Joining JP Morgan Chase means becoming part of a world-class institution committed to innovation and inclusion, with access to state-of-the-art resources in our Bengaluru technology hub. If you are passionate about using AI to shape the future of finance, this position provides a platform to advance your career while making a tangible difference in a dynamic, global firm.

Key Responsibilities

• Develop and implement advanced AI/ML models to solve complex problems in predictive science, such as risk assessment, customer personalization, and fraud detection within JP Morgan Chase's financial services ecosystem
• Collaborate with data scientists, engineers, and business stakeholders to identify opportunities for AI-driven insights in areas like investment banking, consumer banking, and asset management
• Design, build, and optimize scalable ML pipelines using tools like Kubeflow or Apache Airflow, ensuring models are production-ready and integrated with JP Morgan's core banking systems
• Conduct data exploration, feature engineering, and model validation to enhance predictive accuracy while adhering to financial regulations and ethical AI principles
• Monitor and maintain deployed models, performing retraining and performance tuning to adapt to evolving market conditions and data patterns
• Contribute to innovation initiatives by experimenting with emerging AI technologies, such as generative AI or reinforcement learning, for applications in trading optimization or compliance automation
• Document methodologies, model decisions, and outcomes to support audit trails and knowledge sharing across JP Morgan's global teams
• Mentor junior associates and participate in code reviews to uphold best practices in AI/ML development
• Analyze business requirements and translate them into technical specifications for AI solutions that drive revenue growth and operational efficiency

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field; Master's or PhD preferred
• 5+ years of experience in applied AI/ML roles, with a focus on developing and deploying machine learning models in production environments
• Proficiency in Python or R for data analysis and model development, including experience with libraries such as TensorFlow, PyTorch, or scikit-learn
• Strong understanding of machine learning algorithms, including supervised, unsupervised, and deep learning techniques
• Experience with data processing pipelines, feature engineering, and handling large-scale datasets in financial or risk management contexts
• Knowledge of regulatory compliance in financial services, such as GDPR, Basel III, or anti-money laundering (AML) standards
• Demonstrated ability to collaborate with cross-functional teams in a fast-paced, global organization

Preferred Qualifications

• Advanced degree (Master's or PhD) in AI, Machine Learning, or a quantitative field
• Experience in financial services, particularly in areas like fraud detection, credit risk modeling, or algorithmic trading
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for ML deployment
• Publications or contributions to open-source AI/ML projects relevant to predictive analytics
• Experience with explainable AI (XAI) techniques to ensure model transparency in regulated industries

Required Skills

• Machine Learning Frameworks (TensorFlow, PyTorch, scikit-learn)
• Programming Languages (Python, R, SQL)
• Data Processing (Pandas, NumPy, Spark)
• Statistical Analysis and Modeling
• Deep Learning Techniques
• Feature Engineering and Data Pipelines
• Cloud Computing (AWS, Azure)
• Version Control (Git)
• Model Deployment and MLOps
• Financial Domain Knowledge (Risk Modeling, Fraud Detection)
• Problem-Solving and Analytical Thinking
• Communication and Stakeholder Collaboration
• Regulatory Compliance Awareness
• Time Management in Fast-Paced Environments
• Team Leadership and Mentoring

Benefits

• Competitive base salary and performance-based bonuses aligned with JP Morgan Chase's global compensation structure
• Comprehensive health, dental, and vision insurance coverage for employees and dependents
• Retirement savings plan with generous company matching contributions
• Paid time off, including vacation, sick leave, and parental leave policies
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee wellness programs, including gym memberships and mental health support
• Flexible work arrangements, including hybrid options in Bengaluru
• Stock purchase plan and other financial perks tailored to the financial services industry

JP Morgan Chase is an equal opportunity employer.