Leverage a wide range of analytical tools and techniques to solve business problems with the objective to optimize banker performance and behavior.
Use advanced quantitative techniques on large datasets to identify trends and patterns and derive actionable insights.
Monitor and analyze experimental data to identify anomalies, trends and patterns and opportunities for improvement.
Effectively communicate with project team members and sponsors throughout the project lifecycle (status updates, gaps/risks, roadblocks, findings,etc.).
Develop visualization/ppt to summarize and communicate key findings to stakeholders.
Actively contribute in bringing in innovative ideas and continuously strive to upskill and learn new technologies.
Required qualifications, capabilities, and skills:
Bachelor’s / Master's Degree in quantitative discipline such as business, finance, economics, engineering, statistics, information system, or mathematics with 7+ years of hands-on experience in expertise in SQL, Python/R, Alteryx.
Experience with customer segmentation, profiling, clustering analysis, inferential statistics, data mining, experimental design techniques.
Experience in wrangling large, complex datasets, strong database skills and ability to write, optimize and tune complex SQL scripts. Experience delivering analytics solutions under strict timelines quick turn-around.
Strong problem solving mindset and demonstrated experience in delivering business outcomes
Have a demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, with attention to detail while maintaining focus on broader purpose and business objectives.
Strong business acumen and ability to translate technical details, observations and inferences into business language
Self-motivated, goal-oriented, and able to manage and deliver in an innovation-operated and fast-paced environment.