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.
As the Quant Analytics Vice President, you will lead the delivery of analytics and insights to inform strategies for network optimization, new branch development, the future role of branches, and ATM strategy. You will work closely with cross-functional teams—including finance, real estate, and product—to leverage both internal and external data sources. You will communicate findings to stakeholders, translating insights into measurable actions that drive business performance. You will partner across the Consumer and Community Bank to understand business needs, develop solutions, and champion analytics best practices. Your leadership will support strategic analysis, facilitate holistic cross-functional learning, and ensure high data quality and reduced redundancy.
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
- 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.