Applied Artificial Intelligence & Machine Learning- Markets Operations - Vice President

About the role

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us

Requirements

• Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites.
• Hands-on experience with agentic frameworks (LangChain, LangGraph).
• Hands-on 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

Additional Information

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 Developing and Delivering AI Solutions: Lead the development, implementation and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives. Partner with Engineering to Enable Scalable AI/ML Architecture & Deployment : Partner with AI Engineering teams to ensure architecture design and deployment patterns are robust for AI/ML models and aligns with business needs Team Management & Mentorship following Agile Practices : Lead and mentor a team of AI/ML data scientists, guiding iterative experimentation and tracking progress to deliver measurable outcomes in an agile manner Maintaining Code Practices : Ensure production-grade AI/ML applications and tools are built, maintained, and optimized Model Evaluation and Monitoring : Establish best practices for designing robust architectures, evaluation, monitoring, governance and deployment Drive Model Methodology Documentation : Champion documentation of methodologies, results, and best practices for knowledge sharing Execution Excellence : Achieves design/ delivery alignment across partnering teams that ensures execution velocity. Champions in driving clarity and prioritizing pre-requisites for AIML development Engaging with Stakeholders and collaborate cross-functionally : Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs. Work closely with Operations, Technology and Transformation teams to address and solve complex problems, leveraging AI/ML. Required qualifications MSc/PhD in Computer Science, Data Science, Machine Learning, or related field. Significant 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 ML frameworks (PyTorch, TensorFlow, scikit-learn). Strong understanding of data preprocessing, feature engineering, and evaluation techniques and experience working with large, complex datasets and applying statistical analysis Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Experience managing data science teams and couching 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.

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