Quant Analytics, Senior Associate

About the role

As a Quant Analytics Senior Associate on the Digital Analytics team you will support an extensive portfolio of digital products by using data to provide recommendations that enhance the customer experience and build long‑term, profitable customer relationships. You will drive the analytics book of work that is transforming Chase's cross‑channel, cross‑line of business strategy to a hyper‑personalized, data‑driven, customer‑centric model. Your expertise in digital data and analytical thought leadership will help define OKRs, develop and measure A/B tests, scope strategic analytical questions and create analytical plans providing insights to drive outcomes for Chase's 80+ million digital customers. You will deliver actionable analysis in clear and compelling terms while building relationships with Digital Product, Tech, Design, Strategy and more. Chase is a leading financial services firm helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages while providing value and protection for customers, partnering closely with Technology to power insights for the best customer and business outcomes.

Responsibilities

• Data Storytelling: Analyze and visualize digital customer behaviors to craft compelling narratives that drive insights and action.
• OKR Management: Lead the creation, iteration, reporting, and causal analysis of OKRs to track and achieve strategic goals.
• Data‑Driven Decision Making: Foster data‑informed decisions and experimentation by establishing strategic partnerships, promoting best practices, and ensuring clear communication.
• Opportunity Identification: Develop OKRs and conduct deep‑dive analyses to uncover opportunities for driving Digital CSAT, Engagement, and Deepening.
• Consultation: Serve as a subject matter expert in Digital data, providing consultation to the broader Data & Analytics organization.

Requirements

5+ years of experience analyzing customer experiences, digital products/usage; proven track record of problem‑solving using data and building new analytics capabilities; talent for translating numbers into an actionable story for business leaders; superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners; experience querying big data platforms and SAS/SQL; experience with Digital Analytics; Bachelor's degree required (preferred in data science, mathematics, statistics, econometrics, engineering, or related fields).

Skills

Preferred qualifications include hands‑on experience with generative AI solutions (large language models, retrieval‑augmented generation, agentic AI frameworks); experience with analytical tools such as Python, R, Alteryx, Tableau, and Adobe Analytics; experience working with Big Data environments (Snowflake, AWS); experience with A/B testing.

Benefits

• Comprehensive health care coverage
• On‑site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching

Pay

Base salary determined by role, experience, skill set and location; eligible roles may receive commission‑based pay and/or discretionary incentive compensation paid in cash and/or forfeitable equity.