Quant Analytics Senior Associate

JOB DESCRIPTION

Join us to shape the future of customer engagement through data-driven insights and intelligent automation

As a Customer Interaction Taxonomy Senior Associate in the AI/ML Solutions team within Data & Analytics, you will design, govern, and evolve the data taxonomy and semantic structures that unify Chase’s customer interaction events across channels. You will collaborate across technology, product, and analytics teams to ensure interaction data is consistently described, discoverable, and usable for analytics, personalization, and machine learning applications.

Job responsibilities

• Design, maintain, and evolve enterprise-wide taxonomy for customer interaction data
• Implement consistent naming conventions and metadata standards for accurate event classification
• Partner with business and technology teams to incorporate new interaction events into the taxonomy
• Collaborate with engineering and analytics teams to deploy scalable semantic layers
• Contribute to data modeling efforts supporting reporting, AI, and ML use cases
• Support data and AI initiatives by enabling robust personalization and analytics
• Develop and document methodologies, governance processes, and playbooks for taxonomy standards

Required qualifications, capabilities, and skills

• 3+ of experience in product, business analyst, or data analyst roles within large-scale data environments
• Expertise in taxonomy design, metadata management, or data modeling concepts
• Strong analytical and problem-solving skills to translate complex data concepts into actionable structures
• Proficiency in SQL or other querying languages for data validation and taxonomy mapping
• Advanced Microsoft Excel and data organization skills with large, complex datasets
• Experience working cross-functionally with product, analytics, and technology teams
• Background in enterprise data strategy, taxonomy automation, or ontology development

Preferred qualifications, capabilities, and skills

• Experience building or managing semantic layers, knowledge graphs, or business glossaries
• Familiarity with data governance platforms or data warehouse solutions
• Understanding of AI/ML frameworks such as reinforcement learning, embeddings, or vector database search
• Bachelor’s or Master’s degree in Information Science, Data Analytics, Computer Science, or related discipline

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.

ABOUT THE TEAM
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.