Quant Analytics Senior Associate

You’ll join the Consumer & Community Banking - Data & Analytics team, a strategic partner to the Consumer & Community Banking organization using 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.
As a Quantitative Analytics Senior Associate within the Consumer & Community Banking - Data & Analytics organization, you will leverage your analytical expertise to guide strategic decisions, ongoing reporting, and deep-dive analyses that address emerging business challenges. You’ll collaborate with stakeholders to define goals and develop strategies that drive product performance and enhance user experience. You leverage advanced analytics to inform product development and investment decisions.
Job responsibilities
Manage and analyze large, complex datasets from multiple sources to develop actionable business strategies and insights that drive measurable outcomes
Apply advanced analytical and data mining techniques to identify meaningful patterns and correlations within datasets, translating findings into behavioral insights that inform business decisions
Communicate complex analytical results clearly and effectively to business partners and senior leadership, tailoring presentations to diverse audiences and technical backgrounds
Conduct sophisticated analysis and deliver tactical and strategic insights using modern visualization and reporting tools
Serve as a subject matter expert for data-driven decision-making and opportunity identification, providing guidance on analytical approaches and methodologies
Partner with internal and external clients to solve quantitative business problems, optimize performance, and deliver solutions that address critical business needs
Align with data owners and department managers to contribute to the development of data models, analytics architecture, and enterprise-wide data strategies
Identify opportunities for process improvement, assess data quality, recognize statistical anomalies, and connect data findings to business processes to enhance operational efficiency
Execute responsibilities with a high degree of autonomy and limited oversight, independently managing programs, refining processes, and engaging stakeholders
Required qualifications, capabilities and skills
Bachelor’s degree in a quantitative field such as Computer Science, Operations Research, Mathematics, Engineering, Econometrics, Statistics, or related discipline with 6+ years of relevant experience
Proficiency in data analysis programming languages such as Python or SAS, with experience in Big Data technologies including Snowflake, Databricks, or equivalent platforms
Strong SQL skills and demonstrated experience working with relational databases to extract, manipulate, and analyze data
Exceptional interpersonal and collaboration skills with the ability to explain complex mathematical concepts in accessible terms and influence business partners at all levels
Proven track record of delivering analytics and insights to multiple levels of management, from operational teams to senior executives
Hands-on experience with data mining techniques, analytical methodologies, and translating analysis into business strategy implementation
Experience with data visualization techniques and reporting tools such as Tableau, Alteryx, or comparable platforms to create compelling visual narratives
Advanced analytical, interpretive, and problem-solving skills with the ability to tackle ambiguous business challenges and derive actionable solutions
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
Work experience in AWS, Spark/EMR, ChatGPT, Confluence and Snowflake.
Proficiency in Agile methodologies with tools like Jira or Confluence
Preferred qualifications, capabilities and skills
Experience in Machine Learning, NLP, and LLM.
Experience working with Digital platform and tools like Adobe Analytics is a plus