Quant Analytics Associate

We are guided by curiosity, passion, and optimism, and we are dedicated to enabling growth opportunities for everyone.
As a Quant Analytics Associate within Consumer & Community Banking - Data & Analytics team, you will leverage your analytical expertise to guide strategic decisions through executive dashboards, ongoing reporting, and deep-dive analyses that address emerging business challenge. As a strategic partner, you will use data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. In this role, you’ll work closely with stakeholders to enable informed, data-driven decisions and continuous improvement across the Data & Analytics team.
Job responsibilities
Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes
Create accurate and timely analyses on a wide variety of areas including marketing offer operational performance, trend analysis, campaign performance and subscriber behavior and responses to marketing offers
Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds
Develop and maintain operational dashboards to assist business functions
Partner with cross functional teams to understand enterprise trends, competitive environment and their impacts on customer behavior and provide conclusions and recommendations
Ability to synthesize large volumes of data into meaningful insights and drive actionable strategies.
Support business growth targets by understanding business needs and providing concise, insightful and timely analytics for key trends through data analysis
Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders
Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast paced environment
Required qualifications, capabilities, and skills
Bachelor’s degree in statistics, economics, mathematics, or engineering with significant quantitative research and data analysis for financial products
4-6 years of applied experience with SQL, Python, Alteryx, and Tableau
Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts
Strong critical and analytical thinking with attention to detail
Capable of defining metrics, evaluating results, and drawing business insights
Excellent written and verbal communication skills
Familiarity with modern analytics platforms and data visualization tools
Able to multi-task and prioritize, with strong organizational and problem-solving skills
Demonstrated knowledge of analytics platforms and technical processes within a technical discipline
Experience with LLM/AI-driven solutions, along with strong skills in designing and developing data products
Excellent written and oral communication skills, with the ability to distill complex analytical findings into clear, concise insights for senior business leaders and non-technical audiences
Preferred qualifications, capabilities, and skills
Expert in SQL. Proficiency with programming languages such as R/Python
Prior exposure to marketing, competitive intelligence, or strategic analytics
Ability to tell stories through data and generate insights to drive stakeholder deliverables
Highly organized, intellectually curious, and able to prioritize multiple tasks