Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms
If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you. As a Director of Software Engineering at JPMorganChase within Consumer & Community Banking, you
Lead Analyst, Execution Location: Wilmington, DE (Hybrid schedule) We are currently seeking a Sr Analyst for our Execution team in Wilmington, DE. This role will have the exciting opportunity to learn and drive significant business results
Join a team where your analytics directly shape how we acquire, engage, and serve small business customers—while helping improve product experiences and profitability through data-driven decisions. As a Quantitative Analytics Senior Associate at JPMorganChase within the
Job Description Youre ready to gain the skills and experience needed to grow within your role and advance your career - and we have the perfect software engineering opportunity for you. As a Software Engineer II-Python/PySpark at
Join JPMorganChases Card business as a Data Scientist Director, leading the Card Data & Analytics Customer & Strategic Analytics team. You will lead a high-performing organization of analytics leaders, data scientists, and analysts to drive measurable
Job Summary Youll join the Card Data & Analytics team, a strategic partner to the Card organization using data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. In this role, youll work
Job responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms
Are you a skilled data professional with a passion for transforming raw data into actionable insights and a proven track record of learning and implementing new technologies? The Finance Data & Insights Team is an agile
Are you a skilled data professional with a passion to transform raw data into actionable insights, and a demonstrated history of learning and implementing new technologies? The Finance Data & Insights Team is an agile product
The Small Business Card Analytics team is a strategic partner to the Small Business Card line of business (LOB), leveraging data and analytics to accelerate growth and deliver actionable insights that shape marketing strategies and portfolio
Join our Credit Strategy Forecasting & Model Governance team within Consumer and Business Banking for an exciting opportunity to develop, maintain, and govern quantitative forecasting frameworks that estimate customer credit behavior and engagement over multiple years
Join a team where your analytics directly shape how we acquire, engage, and serve small business customers-while helping improve product experiences and profitability through data-driven decisions. As a Quantitative Analytics Senior Associate at JPMorganChase within the
As a Data & Analytics Solutions- Vice President within the Finance Data and Insight (FDI) product group, you execute on Data and Analytical Solution related Product development strategy and outcomes for Marketing Finance Area Product. Job
Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side