Applied AI ML - Senior Associate

operating environment, focusing on model factories, evaluation frameworks, and agentic engineering tools. Your work will help accelerate the delivery of innovative AI solutions within a regulated environment.

• Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges
• Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations
• Contribute to model factories and evaluation frameworks that improve model quality, scalability, and operational efficiency
• Apply agentic, specification-driven, and evaluation-driven development approaches to accelerate solution delivery
• Partner with business stakeholders to translate requirements into analytical solutions and measurable outcomes
• Collaborate with technology teams to build scalable, reliable, and secure analytics and AI products
• Identify opportunities to reduce costs, improve controls, enhance employee experiences, and expand
  organizational capabilities through data-driven solutions
• Support adoption of reusable methodologies, tools, and vendor capabilities where appropriate
• Communicate findings and recommendations clearly to technical and non-technical audiences
• Ensure adherence to all applicable risk, control, and governance requirements

• Bachelor's degree in AI, Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline
• Experience developing and deploying machine learning or AI solutions using modern tools and techniques
• Working knowledge of large language models, agentic frameworks, or generative AI technologies
• Experience with statistical analysis, experimentation, and model evaluation methodologies
• Proficiency in Python, SQL, and data science tooling used in enterprise environments
• Strong analytical, problem-solving, and communication skills
• Ability to manage multiple priorities and deliver results in a
  collaborative environment

• Advanced degree in a quantitative discipline
• Experience building automated machine learning or model evaluation workflows
• Experience with AI, machine learning, or analytics solutions in a regulated environment
• Familiarity with cloud-based data and analytics platforms
• Experience collaborating across business, product, and technology teams

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. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 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.

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J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout…