Job Description We're looking for a hands-on data engineer ready to grow their career. Join the ranks of top talent at one of the world's most influential companies. As a Applied AI ML Associate Senior -Data Engineer at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will build and maintain the data pipelines and platforms that our agentic AI and machine learning products run on. Working alongside senior engineers, you will develop data ingestion, transformation, and quality checks so the team's models and applications are fed timely, well-governed, model-ready data across international markets. This is a Senior Associate-level role and an integral part of the IPB Tech AIML team, reporting to the AIML Team Lead. Job Responsibilities Builds and maintains scalable data pipelines and feature stores supporting the team's AI/ML products, from source systems through to production Implements data quality, validation, and monitoring so downstream models and applications can trust their inputs Structures and models data for retrieval-augmented generation, feature engineering, and analytics workloads Partners with AI engineers to productionise data flows for agentic AI and ML use cases Applies data access, privacy, and residency controls to firm-wide and cross-border regulatory standards Contributes to design discussions and code reviews, growing towards greater technical ownership Uses AI coding tools (e.g., Claude Code, GitHub Copilot) as part of day-to-day development Required qualifications, capabilities, and skills Formal training or certification on software or data engineering concepts and 3+ years applied experience Proficiency in Python and SQL, and familiarity with modern software engineering practices (testing, code review, version control) Hands-on experience building and maintaining data pipelines and ETL/ELT workflows Exposure to distributed data processing and platforms such as Spark / Databricks Working knowledge of cloud-native data services, containerisation, and CI/CD Understanding of data modelling and warehousing concepts Ability to communicate clearly with engineers, data scientists, and stakeholders BSc in Computer Science, Data Engineering, or a related quantitative field Preferred qualifications, capabilities, and skills Industry-recognised data engineering certification (e.g., AWS Certified Data Engineer - Associate (DEA-C01), or similar) Exposure to data foundations for ML / LLM workloads (feature stores, vector stores, RAG pipelines) Exposure to financial services, particularly wealth, private banking, or asset management Familiarity with data governance, lineage, and privacy tooling Familiarity with JPM-internal data and AI/ML infrastructure for internal candidates

About JPMorganChase

With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.