Quant Analytics Manager

Job Responsibilities

• 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.

Required Qualifications, Capabilities, and Skills

• 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.
• Excellent communication skills with the ability to convey complex information clearly and persuasively to business partners through presentations.
• Strong storytelling skills, especially through PowerPoint presentations.
• Expert knowledge of quantitative methods for marketing analytics, including customer segmentation, targeting, and digital analytics.

Preferred Qualifications, Capabilities, and Skills

• 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.

About the Team

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.