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.