Pricing Analytics Solutions Associate
JPMorgan Chase · Wilmington, United States · 23d ago
Mid levelOn-siteData & Analytics
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
Start your next role in a team that values ownership, curiosity, and continuous improvement. You’ll help modernize control monitoring with analytics, automation, and clear storytelling.
As a Pricing Analytics Solutions Associate in Card Pricing Execution Team, you support critical pricing controls by investigating exceptions, improving monitoring, and strengthening end-to-end processes that impact customer experiences.
Job responsibilities
- Review, analyze, and disposition control monitoring exceptions tied to pricing and servicing activities
- Provide oversight for potential exceptions across key pricing components (for example, fees, interest, and refunds under the Servicemembers Civil Relief Act)
- Execute process reviews to confirm pricing operations and controls are performing as designed
- Build, maintain, and enhance analytical workflows to triage, prioritize, and resolve exceptions efficiently
- Develop and automate reporting and analytics using tools such as SQL, Python, Alteryx, SAS, and enterprise data platforms
- Identify opportunities to apply responsible automation and generative AI to improve investigation speed, documentation quality, and knowledge retrieval
- Partner with senior analysts and managers to scale monitoring solutions, including rule-based logic and anomaly detection concepts
- Manage multiple workstreams, communicate status clearly, and deliver outcomes on agreed timelines
- Present complex findings in a clear, compelling way to stakeholders across functions
- Drive continuous improvement by documenting procedures, strengthening controls, and reducing recurring issues
Required qualifications, capabilities, and skills
- Bachelor’s degree
- Strong analytical skills with high attention to detail and a focus on root-cause problem solving
- Ability to manage multiple priorities in a fast-paced environment without sacrificing quality
- Experience working with data analysis tools and databases (for example, SQL and large-scale data platforms)
- Strong written, verbal, presentation, and facilitation skills
- Proficiency with Microsoft Office (Excel, PowerPoint, Word)
- Familiarity with card processing and/or mainframe-based platforms (for example, TSYS)
Preferred qualifications, capabilities, and skills
- Experience building automated workflows for investigation and exception management using Python, Alteryx, SAS, and/or SQL
- Exposure to automation programs, workflow orchestration, and reporting automation
- Familiarity with responsible use of generative AI or AI-assisted productivity tools in operational environments
- Experience translating control, process, and monitoring needs into scalable analytics solutions
- Comfort partnering across product, operations, analytics, and technology teams to drive change
Applicants must be authorized to work for any employer in the US. We are not able to provide immigration sponsorship or take over sponsorship of an employment visa at this time. Final job grade level and corporate title will be determined at time of offer and may differ from this posting.