Leverage data from various sources to identify, create and validate impactful alerts and signals for our financial advisors/clients
Collaborate with business users as well as technology partners to build the most impactful and feasible solutions possible
Partner with various Data & Analytics functions, such as Advanced Analytics, Data Strategy, and Digital Analytics to ensure consistent frameworks and receives feedback on products
Develop an understanding of how data and machine learning can impact financial advisors’ practices
Build and collaborate on working prototypes of machine learning/AI solutions
Conduct ad-hoc analyses as appropriate to support priority business projects; respond in a timely manner to ad hoc questions from executives
Requirements
Bachelor's degree in Decision Information Science, Engineering, Mathematics, Finance, Economics, or related discipline
2+ years of related work experience in an advanced analytics or data science role supporting sales, finance, marketing, or operations
2+ years of experience with a programming or scripting languages (e.g. Python, R)
2+ years of experience working with relational databases (e.g., SQL Server, Oracle, Snowflake), distributed technologies (e.g., Hadoop, Spark) and cloud-based platforms (e.g., AWS, Azure)