<p>JobID: 210611481</p> <p>Category: Quant Analytics</p> <p>JobSchedule: Full time</p> <p>Posted Date: 2025-06-02T15:00:44+00:00</p> <p>JobShift:</p> <p>:</p> <p>Do you have a strategic mind set to lead initiatives and improve processes within Consumer & Community Banking (CCB) operations? If so, this is the role for you.</p> <p>As a Quantitative Analytics Associate in the Point of Sale Central Analytics Team in Fraud Customer Protection Services, you will join a forward-thinking team that seeks to prevent plastics fraud through data-driven analysis. You will develop and advance reporting dashboards, optimize data consumption practices, and work with cross-business partners to promote benefits in all aspects of fraud prevention. Your role will involve analyzing big data, understanding complex systems, identifying opportunities, and creating solutions. We are looking for a self-driven problem solver with a strong sense of ownership</p> <p>Job responsibilities:</p> <ul> <li>Gain a thorough understanding of the full lifecycle of a point-of-sale transaction to deliver timely, efficient, and fit-for-purpose solutions. </li><li>Analyze large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity. </li><li>Build, develop, and maintain reporting systems, data automation systems, and dashboards to communicate findings and insights to leadership for strategic decision-making. </li><li>Support the modernization of reporting infrastructure on the cloud by performing ad hoc analyses to ensure data integrity and communicating progress to senior management. </li><li>Continuously seek to enhance internal analytical techniques and introduce best practices to improve key business metrics. </li><li>Work both independently and collaboratively with cross-functional partners to complete analytical tasks, beginning with problem identification, analyzing large and complex data, and formulating concise conclusions with actionable recommendations </li></ul> <p>Required qualifications, capabilities, and skills:</p> <ul> <li>MS degree with 3 years of experience in Risk Management or another quantitative field, or </li><li>BS degree with a minimum of 5 years of experience in Risk Management or another quantitative field. </li><li>Strong background in statistics, mathematics, or a related quantitative field. </li><li>Hands-on experience with SAS, SQL, and Alteryx. </li><li>Advanced knowledge of Tableau or equivalent data visualization platforms. </li><li>Ability to query large datasets and transform raw data into actionable insights. </li><li>Strong communication and interpersonal skills, with the ability to interact effectively with individuals across departments/functions, including senior-level executives. </li></ul> <p>Preferred qualifications, capabilities, and skills:</p> <ul> <li>Python programming skills </li><li>Familiarity with data mining and other advanced analytics techniques </li><li>Self-starter with ability to push for resolution </li></ul> <p>Schedule: Monday thru Friday 8:00am to 5:00pm</p>