JPMorgan Chase Commercial & Investment Bank is undertaking a strategic initiative called Client 360 aimed at developing a big data platform and Firmwide solution for Entity Resolution and Relationships
Requirements
- Proficiency in advanced Python programming, with extensive experience in utilizing libraries such as Pandas and NumPy
- Experience in code and infrastructure for Big Data technologies (e.g. Spark, Kafka, Databricks etc.) and implementing complex ETL transformations
- Experience with AWS services including EC2, EMR, ASG, Lambda, EKS, RDS and others
- Experience developing APIs leveraging different back-end data stores (RDS, Graph, Dynamo, etc.)
- Experience in writing efficient SQL queries
- Strong understanding of linear algebra, statistics, and algorithms
- Strong Experience with UNIX shell scripting to automate file preparation and database loads
Responsibilities
- Identify, analyze, and interpret trends or patterns in complex data sets
- Innovate new ways of managing, transforming and validating data
- Implement new or enhance services and scripts
- Ideate, propose and implement AI/ML/LLM solutions for complex problems and automate manual processing using agentic frameworks
- Acquire and manage data from primary and secondary data sources and build ETL pipelines
- Apply quality assurance best practices to all work products
- Analyze, design and implement business-related solutions and core architectural changes using Agile programming methodologies with a development team
Other
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Strong development discipline and adherence to best practices and standards
- Bachelor's degree or higher in a relevant field (not explicitly mentioned but implied)
- Financial Services and Commercial banking experience is a plus
- Competitive total rewards package including base salary determined based on the role, experience, skill set and location
