Applied AI ML Senior Associate is a Machine Learning Engineer role (full-time). with J.P. MORGAN. in CHICAGO, US. Imported listing (source: finance.jobserve.com). Apply on the employer's site (finance.jobserve.com).
Imported listing (source: finance.jobserve.com) · Apply on finance.jobserve.com
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Imported job description
Sourced from finance.jobserve.com
J.P. Morgan Payments is seeking a Senior Associate Applied AI/ML Scientist in Chicago to build machine learning models, services, and platforms that streamline payment processes, strengthen fraud detection, and enrich customer experience across a payments network handling $10 trillion daily. The role centers on designing and deploying agentic systems built on LLMs and scalable data pipelines, in partnership with Product, Technology, Risk, and Compliance teams. You will translate model outcomes into business impact metrics and communicate insights to senior management and stakeholders.
Responsibilities
Collaborate with Product, Technology, and cross-functional teams to formulate data-driven AI/ML solutions for complex payments problems
Design, develop, and deploy agentic systems using LLMs and machine learning, balancing model complexity, scalability, and latency against business success metrics
Build highly scalable and dependable data processing pipelines and derive insights to optimize business outcomes
Partner with Risk and Compliance teams on model documentation, performance tracking, and regulatory adherence
Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders
Requirements
Master's degree in a quantitative discipline (Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 3 years of industry experience
JPMorgan Chase & Co. is a leading global financial services firm. It provides a wide range of services including investment banking, financial services for consumers and small businesses, commercial banking, and asset management.