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
- 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
- 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
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
Skills Required
- Formal training or certification in software or data engineering and 3+ years applied experience
- Proficiency in Python
- Proficiency in SQL
- 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
- Working knowledge of containerisation and CI/CD
- Understanding of data modelling and warehousing concepts
- Familiarity with modern software engineering practices (testing, code review, version control)
- Ability to communicate clearly with engineers, data scientists, and stakeholders
- BSc in Computer Science, Data Engineering, or a related quantitative field
- Industry-recognised data engineering certification (e.g., AWS Certified Data Engineer)
- 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)
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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