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Quant Analytics Senior Associate
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Join us for an exciting opportunity to lead complex analytics deliveries and drive innovation within Customer Identity & Authentication product.As a Quant Analytics Senior Associate within the Consumer and Community Banking - Customer Identity & Authentication organization, you will be responsible for supporting advanced analytics projects across various operational functions, channels, and products. Your role will be crucial in enhancing customer experience by ensuring the provision of complete insights. Job Responsibilities: Support and lead partnerships with key stakeholders and product groups with strong understanding of business drivers, underlying data, and processes. Lead the development, reporting, and visualization of performance metrics and KPIs. Use analytical tools such as trend analysis, segmentation, optimization, and other techniques to improve business function performance. Collaborate with the Area Product Owners to formulate quantifiable goals for measurement; advise on strategies and experimentation required to achieve business goals. Provide management with self-service tools to explore and report on current trends of key metrics. Analyze interactions across a variety of channels to better understand customer journeys, friction points, and program performance. Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, in regularly-scheduled analytics meetings chaired by the analyst in this role. Support our team’s current production reporting environment, including answering questions from stakeholders, troubleshooting issues, and enhancing these processes. Ensure compliance with established controls and regulatory requirements in all analytics activities. Contribute to innovation and creativity within the team by actively proposing new ideas and approaches to improve processes and support effective solutions. Mentor junior analysts and continuously explore new areas within the larger team. Required Qualifications, Skills and Capabilities: 5+ years of related experience. Bachelor's degree in a quantitative or related field required. Proficiency in SQL, Python, Alteryx, AWS, Snowflake and Tableau. Excellent strategic thinking and problem-solving abilities. Strong project management skills with the ability to manage multiple projects simultaneously. Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology. Familiarity with data mining, statistical modeling, machine learning, and other advanced analytics methods. Robust data management skills with a focus on ensuring data quality and organization. Demonstrated ability to independently make the decisions and judgements necessary to deliver quality analytics solutions. Effective communication skills, both written and verbal. Strong soft skills, including adaptability, emotional intelligence, and conflict resolution. Demonstrated ability to analyze and solve problems, innovate, and think creatively. Preferred Qualifications, Skills and Capabilities Candidates with past Fraud Risk exposure would be preferred Candidates should open to use and integrate AI in data to day operations
