Data Science Vice President - Wealth Management

About this job

Job responsibilities Analyzing client usage across risk segments, both within and across products, in order to understand the relationship between a client’s risk appetite and their portfolio allocations Fine-tuning a machine learning model to predict the price elasticity of a client segment and inform policies around Advisor discounting Identifying the most common selling sequence by investment product and asset collection to understand key differences in purchasing behaviors across client segments and optimize Advisors’ sales practices Leveraging forecasting methods including regression analysis, year-over-year growth rates, as well as bottom-up and top-down approaches to estimate the potential impact of a product enhancement or pricing change Leading an ideation session with a product…

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