Applied AI & ML Lead – Markets Operations

Job description

Are you ready to shape the future of banking with cutting-edge AI and machine learning? At JPMorganChase, you’ll lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey as you deliver transformative solutions. Collaborate with industry leaders and advance your career in a dynamic, inclusive environment. Join us to drive innovation and make a difference.

As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. You will lead a team of scientists and engineers, partner with business stakeholders and technology leaders, and ensure the successful implementation and scaling of AI-driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications.

Your leadership will help foster a culture of collaboration and continuous learning.

Job Responsibilities

Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs. Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment.

Ensure production-grade AI/ML applications and tools are built, maintained, and optimized. Establish best practices for designing robust architectures, evaluation, monitoring, governance, and deployment. Champion documentation of methodologies, results, and best practices for knowledge sharing. Achieve design and delivery alignment across partnering teams to ensure execution velocity and clarity in prioritizing development prerequisites.

Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs. Collaborate closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML.

Required Qualifications, Capabilities, and Skills

MSc or PhD in Computer Science, Data Science, Machine Learning, or related field. Proven experience building and deploying AI applications in large-scale production environments. Experience with MLOps practices and tools for managing the machine learning lifecycle. Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques.

Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem-solving skills and ability to work independently and as a leader within cross-functional teams. Strong communication skills for both technical and non-technical audiences.

Preferred Qualifications, Capabilities, and Skills

Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. Hands-on experience with agentic frameworks (LangChain, LangGraph). Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration. Demonstrated experience in financial services, particularly investment banking operations. Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world’s leading financial institutions. #CIBAppliedAI