Join our Data and Analytics team to shape the future of consumer banking through innovative, data-driven solutions. As a Senior quant analytics associate, you’ll collaborate with talented colleagues and leverage advanced analytics to deliver personalized customer experiences. Grow your career in a dynamic environment that values learning, diversity, and mobility. Be part of a team where your skills make a difference and your ideas drive change.
As a Senior Quant analytics associate in Banking Payments Analytics within the Data and Analytics organization, you will partner with Payments Product Owners to deliver descriptive, diagnostic, predictive, and prescriptive analytics. You will define metrics, source data, develop queries, and create reports to drive customer engagement. You’ll work closely with cross-functional teams, translating data into actionable insights and supporting the firm’s mission to lead in consumer banking.
You will collaborate across Product, Data Management, Strategy, and Technology teams to understand business requirements and objectives. Your work will support the development of high-quality data models and reporting solutions, enabling seamless experiences for our customers. This role offers exposure to advanced analytics tools and the opportunity to contribute to strategic initiatives in payments.
Job ResponsibilitiesUnderstand and translate business needs into data models supporting long-term solutionsCreate data points using best practices to ensure high data quality and reduced redundancyRationalize complex normalized data sets for ease of cross-organization consumptionPartner and collaborate with Product, Data Management, Strategy, Technology, and D&A teams to understand requirements and objectivesTranslate data into meaningful insights and present compelling stories to stakeholders for decision makingProduce, optimize, and automate recurrent reportsBuild consensus with Product Owners on metrics, data sourcing, and reportingDevelop queries and create reports to drive customer engagementSupport the development of personalized money movement and payment servicesFacilitate holistic, cross-functional learning within the D&A communityDisseminate analytic knowledge across teamsRequired Qualifications, Capabilities, and SkillsIntermediate knowledge of SQL, Alteryx, and TableauBachelor’s degree with three years of analytics experienceExperience with Hadoop, Teradata, Oracle, and SQL databasesAbility to explain and convert complex concepts into digestible information for varied audiencesDemonstrated initiative and ability to complete projects independentlyHighly organized and able to prioritize multiple tasksGood written and oral communication skillsOperational business knowledge of processes, data, controls, and technology platformsPreferred Qualifications, Capabilities, and SkillsFunctional industry experience in operations, marketing, credit/risk, technology, or financeIntermediate knowledge of Machine Learning. Basic skills with JIRA, ConfluenceStrong SQL skills with ability to pull data using multiple joins, sub-queries, and advanced functions in enterprise-scale databases (Teradata, Hadoop, AWS, etc.)Experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake, and AlteryxExperience with visualization techniques for data analysis and presentation (Tableau preferred)Familiarity with Cloud (AWS, Snowflake) based data solutions and toolsProficiency in Microsoft Word, Excel, PowerPoint. Adobe Analytics knowledge preferred