Quant Analytics Manager

JOB DESCRIPTION

Join our Distribution Analytics Strategy Team as a Quant Analytics Vice President and play a pivotal role in optimizing our Branch Network. This position offers significant opportunities for career growth, skill development, and the ability to drive impactful business decisions through advanced analytics. You'll collaborate with talented colleagues to develop innovative solutions that enhance customer engagement and support strategic investments in our branches.

• Build and foster partnerships across the organization to support Branch Network Optimization strategies.
• Lead the design and execution of solutions that integrate data from multiple sources for strategic analytics and reporting.
• Analyze branch engagement, customer behaviors, cross-LOB analytics, and performance to identify actionable insights.
• Present insights to senior leaders through compelling written and oral presentations, influencing marketing strategy and investment decisions.
• Collaborate with analytic and non-analytic teams to facilitate holistic, cross-functional learning.
• Champion data and analytics best practices across the organization.

• Master's degree in a relevant quantitative field (e.g., Statistics, Economics, Analytics, Mathematics, or related).
• 6+ years of industry experience in analytical roles (e.g., finance analytics, marketing analytics, customer insights).
• 6+ years of hands‑on experience with a broad range of analytics platforms, languages, and tools (e.g., Snowflake, Alteryx, SAS, Tableau, Python, Excel Pivot); experience with big data platforms required.
• Strong storytelling skills, especially through PowerPoint presentations.
• Expert knowledge of quantitative methods for marketing analytics, including customer segmentation, targeting, and digital analytics.

• Experience leveraging Large Language Models (LLMs) and related AI technologies to drive business insights and process efficiencies.
• Proven ability to design and implement solutions that integrate LLMs with enterprise data systems, enabling efficient, data‑driven decision‑making.
• Strong programming skills in Python and familiarity with modern ML/NLP frameworks, with a focus on building scalable and secure analytics processes.

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.

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.

Equal Opportunity Employer/Disability/Veterans