Work as a Vice President in the Commercial & Investment Banking Securities Services Data and AI Centre of Excellence.
As the Data and AI Vice President within the Commercial and Investment Banking Securities Services Data and AI Centre of Excellence, you will lead the design and architecture of Agentic AI/ML and Data solutions to revolutionize the J.P. Morgan Core Securities Services business.
J.P. Morgan Securities Services provides comprehensive solutions spanning the full investment cycle to help institutional investors succeed now and in the future. Our world-class suite of services includes custody, fund accounting and administration, middle office services, foreign exchange, liquidity management, securities financing, collateral management, data solutions and regulatory insights.
Come be a part of the newly formed Data & AI Centre of Excellence enabling and accelerating the adoption of Artificial Intelligence across all of these services to create real impact for the business.
Job responsibilities
- Technical AI Leadership:
Lead the charge for Data and Agentic AI architecture, Retrieval Augmented Generation (RAG) for text2sql, Prompt Engineering, MCP APIs and evaluating the AI solutions thoroughly for making the vast finance data sitting within the Securities Services data lake AI ready. - Understanding business needs and Quick Prototyping:
Effectively Code and Prototype end-to-end software applications including analytics, dashboards, python applications using AI coding toolkits like github copilot. - Communication and Collaboration:
Communicate and collaborate effectively to translate complex technical business problems into achievable impactful book of work. - Stakeholder Management:
Engage with internal and external stakeholders, including business users, technology teams, and clients, to gather requirements and prioritize features. Delivery & Execution:
Oversee end-to-end product delivery, from concept to deployment, ensuring high-quality releases and continuous improvement.
Required qualifications, capabilities & skills :
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 7+ years of experience in Applied AI/ML, Data engineering, or related roles, with significant exposure to data lake technologies (e.g., Databricks, Hadoop, Spark, AWS, Azure) and AI/ML solutions on financial data.
- Real Hands-on-experience in designing, scaling and evaluating large scale industry AI projects like RAG pipelines for text2sql, Agentic State Architecture, MCP APIs creation.
- Rapid coding/prototyping skills in python using AI guided copilot programming .
- Proven track record of delivering complex, large-scale data solutions in a hands-on capacity.
- Deep understanding of data architecture, ETL processes, data quality frameworks, data lineage, and analytics platforms.
- Deep understanding of context engineering, RAG, fine-tuning AI models on structured and unstructured data.
- Excellent communication, stakeholder management, and leadership skills.
- Experience working in global, cross-functional teams.
Good-to-have:
- Real Hands-on-experience in finetuning LLM models for large scale industry projects.
- Traditional Machine Learning/Data Science background using models like xgboost, logistic regression for large scale industry projects.
About Us
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
- Bachelor's or Master's degree in computer science, engineering, or a related field
- 7+ years of experience in technical product management, data engineering, or related roles
- Significant experience with data lake technologies, including Databricks, Hadoop, Spark, AWS, or Azure
- Hands-on experience building and managing scalable data pipelines and AI analytics solutions
- Strong background in securities services, financial data, or capital markets
- Track record delivering complex, large-scale data solutions in a hands-on capacity
- Deep understanding of data architecture, ETL processes, data quality, data lineage, metadata management, and analytics platforms
- Experience with context engineering, RAG, and fine-tuning AI models using structured and unstructured data
- Excellent communication, stakeholder management, and leadership skills
- Experience working in global, cross-functional teams
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.
-
Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
-
Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
-
Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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.
Gallery
