Job Description Join the Chief Data & Analytics Office (CDAO) at JPMorgan Chase and be part of a team that accelerates the firm's data and analytics journey. We focus on ensuring data quality and security while leveraging insights to promote decision-making and support commercial goals. Our mission is to modernize compliance using scalable AI, creating systems that intelligently automate data usage decisions. This role offers the chance to address complex challenges across the firm's data ecosystem and develop impactful machine learning solutions. When someone joins our team within CDAO, they become part of a mission to modernize compliance through scalable and explainable AI. We are building a system that answers the question: “Can I use this data?”, not with guesswork, but with prediction/classification, logic, proof, and intelligent automation. Our work sits at the intersection of applied machine learning, AI reasoning systems, and data governance. We are designing the triage layer of an intelligent decision engine that combines ML-driven classification, LLM-assisted parsing, and formal logic-based verification. This is an opportunity to tackle complex, ambiguous problems that touch every part of the firm's data ecosystem and to build ML solutions that actually make decisions. Job Responsibilities: Build and integrate ML models into structured backend services (APIs, pipelines, batch processors) Write production-ready Python code to support model inference, validation, and logging Assist in building automated workflows for data ingestion, model deployment, and metadata tagging Build dashboards, logs, or simple UI tools to visualize and debug decision outcomes Collaborate with VP engineers and cross-functional partners to understand requirements and execute implementation Participate in code reviews, quality assurance, and ongoing system improvement Required Qualifications, Capabilities, and Skills: Bachelor's degree in Computer Science, Software Engineering, or related field 2 years of software development experience, ideally with exposure to ML/AI systems Strong programming skills in Python; familiarity with web frameworks (Flask, FastAPI) Understanding of model inference lifecycles, APIs, and data validation Familiarity with Git, CI/CD pipelines, testing, and performance profiling Ability to work independently and deliver clean, maintainable, production-quality code Preferred Qualifications, Capabilities, and Skills: Master's degree or certifications in ML engineering, MLOps, or cloud infrastructure Familiarity with data cataloging, tagging, or schema inference workflows Exposure to enterprise governance, compliance, or secure access systems Interest in explainable AI, decision support tooling, and intelligent policy engines About Us 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. Visit our FAQs for more information about requesting an accommodation. About The Team 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.