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About the Role

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

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.

Requirements

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.
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.

Skills

AI
Machine Learning
Python
PyTorch
TensorFlow
scikit-learn
MLOps
Cloud Platforms (AWS, Azure, GCP)
Docker
Kubernetes
Prompt Optimization
Agentic Frameworks
AWS AI Deployment Services
Financial Services
Investment Banking Operations

Location

Market Operations

Work Type

Full-time

Experience Level

Lead
Management

Education Level

MSc or PhD in Computer Science, Data Science, Machine Learning, or related field.

About the Company

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors.
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 with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Equal Opportunity

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.