Quantitative Analytics Associate

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. 

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

Job responsibilities: 

• Gain a thorough understanding of the full lifecycle of a point-of-sale transaction to deliver timely, efficient, and fit-for-purpose solutions.
• Analyze large datasets to identify patterns, trends, and anomalies that may indicate fraudulent activity.
• Build, develop, and maintain reporting systems, data automation systems, and dashboards to communicate findings and insights to leadership for strategic decision-making.
• Support the modernization of reporting infrastructure on the cloud by performing ad hoc analyses to ensure data integrity and communicating progress to senior management.
• Continuously seek to enhance internal analytical techniques and introduce best practices to improve key business metrics.

• 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

Required qualifications, capabilities, and skills: 

• MS degree with 3 years of experience in Risk Management or another quantitative field, or
• BS degree with a minimum of 5 years of experience in Risk Management or another quantitative field.
• Strong background in statistics, mathematics, or a related quantitative field.
• Hands-on experience with SAS, SQL, and Alteryx.
• Advanced knowledge of Tableau or equivalent data visualization platforms.

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• Ability to query large datasets and transform raw data into actionable insights.
• Strong communication and interpersonal skills, with the ability to interact effectively with individuals across departments/functions, including senior-level executives.

Preferred qualifications, capabilities, and skills:

• Python programming skills
• Familiarity with data mining and other advanced analytics techniques
• Self-starter with ability to push for resolution

Schedule: Monday thru Friday 8:00am to 5:00pm