Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible with good knowledge of Graph solutions especially Neo4j, Java, Python and experience working with BigData.
As a Lead Software Engineer at JPMorgan Chase within the Commercial Banking business, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible to solve exciting business problems in the domain of commercial banking, payments and financial services
Job responsibilities
- Build Knowledge Graph solutions leveraging large-scale datasets to solve various business use cases for Commercial Banking.
- Design and build graph database schemas to support Commercial Bank use cases including knowledge graphs related to Companies, Investors, Contacts, and Real Estate Properties
- Design and build graph database load processes to efficiently populate the knowledge graphs
- Leverage AWS to host and manage the knowledge graphs
- Support ML activities against the knowledge graph to expose insights
- Develop end-to-end CI/CD ML pipelines to deploy the knowledge graphs and associated processes
- Build both batch and real-time update processes to keep the knowledge graphs in sync
- Collaborate across the Commercial Bank Data Platform team to leverage existing data assets in the knowledge graph and to drive the creation of additional data assets
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Minimum 5+ years of working experience with knowledge graphs/graph databases
- Expertise with Graph database technology especially Neo4J
- Expertise with Graph visualization tools
- Expertise with AWS - provisioning services, running Neo4J on AWS, EC2s, Lambda, etc.
- Expertise with Java, Python, and related software engineering platforms/frameworks
- Experience in designing and building highly scalable Knowledge Graphs in production
- Experience developing APIs leveraging knowledge graph data
- Experience with querying knowledge graphs using a graph query language (e.g. Cypher)
- Experience working with end-to-end CI/CD pipelines using frameworks like Jules, Spinnaker, etc.
- Advanced Degree in field of Computer Science, Data Science or equivalent discipline.
Preferred qualifications, capabilities, and skills
- Banking experience preferable
Top Skills
What the Team is Saying
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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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
