Job
Description
As a Quant Analytics Associate within the Consumer Banking Sales Science Analytics team, you will leverage a variety of analytical tools and methodologies to enhance banker and branch assignments. You will perform comprehensive analyses to maintain alignment with business goals and pinpoint opportunities for optimization. Job Responsibilities Leverage a wide range of analytical tools and techniques to optimize banker and branch assignments. Conduct thorough analyses to understand the implications of assignment strategies, ensuring alignment with business objectives and identifying opportunities for optimization. Monitor and analyze experimental data to identify anomalies, trends, and patterns, and effectively assess the impact of banker and branch assignments. Effectively communicate with project team members and stakeholders throughout the project lifecycle (status updates, gaps/risks, roadblocks, findings, etc.). Create compelling visualizations and presentations that effectively convey complex data insights and strategic recommendations to stakeholders. Required Qualifications, Capabilities, and Skills Bachelor s or Master s Degree in a quantitative discipline such as business, finance, economics, engineering, statistics, information systems, or mathematics with 5+ years of hands-on experience. Expertise in SQL, Python/R, and Alteryx. Experience with customer segmentation, profiling, clustering analysis, inferential statistics, data mining, and experimental design techniques. Experience in wrangling large, complex datasets, strong database skills, and ability to write, optimize, and tune complex SQL scripts. Strong problem-solving mindset and ability to think both independently and collaboratively to implement creative solutions that solve business problems. Strong business acumen and ability to translate technical details, observations, and inferences into business language. Self-motivated, goal-oriented, and able to deliver in an innovation-oriented and fast-paced environment.
