The role
From JPMorgan Chase's own posting.
Join us to transform Market Operations with advanced AI and machine learning. You’ll have the opportunity to solve complex business challenges, automate workflows, and deliver impactful solutions that drive operational excellence. At JPMorganChase, we value your expertise and encourage you to grow your career in a collaborative, forward-thinking environment. You’ll work alongside talented professionals who are passionate about leveraging technology to make a difference. Discover how you can shape the future of financial services with us.
As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that directly support and enhance Markets Operations. You will collaborate with business stakeholders and technology partners to understand operational needs, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. You’ll help foster a culture of innovation and continuous improvement, making a tangible impact on our business. Your work will contribute to optimizing processes and driving efficiency across the team.
Job Responsibilities:
Develop and implement advanced machine learning models and algorithms to address operational challenges
Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization
Architect and oversee generative AI applications to automate and enhance business processes
Build and maintain production-grade AI/ML applications and tools for Market Operations
Monitor, evaluate, and improve the performance of deployed models and solutions
Analyze large and complex datasets to identify trends, inefficiencies, and opportunities for automation
Collaborate with subject matter experts to gather requirements, validate solutions, and measure impact
Document methodologies, results, and best practices to support knowledge sharing and scalability
Stay current with AI/ML advancements and apply relevant techniques to business problems
Required Qualifications, Capabilities, and Skills:
Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience)
Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development
Experience working with large, complex datasets and applying statistical analysis
Hands-on experience training, deploying, and maintaining machine learning models in production environments
Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch)
Experience with MLOps practices and tools for managing the machine learning lifecycle
Experience building and deploying Generative AI applications, including familiarity with LLMOps
Exposure to cloud platforms (such as AWS, GCP, Azure)
Demonstrated problem-solving skills and ability to work independently or in small teams
Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences
Preferred Qualifications, Capabilities, and Skills:
PhD in Data Science, Computer Science, Artificial Intelligence, or a related field
Experience in financial services, banking, or Markets Operations environments