Job Responsibilities:
- Data mining and ability to translate raw data into meaningful insights and recommendations
- Learn and apply advanced machine learning algorithms to further enhance Broadridge’s analytical offerings
- Construction and maintenance of a variety of predictive models (lead scoring, look-a-like, retention, and other customized predictive models)
- Develop new approaches to present complex analytical concepts using data visualization
- Work with Product Management to identify and develop new and/or enhance existing analytical products from client interactions
- Develop custom analytical solutions as required by Broadridge Distribution Insight clients
- Stay informed of/follow all relevant Broadridge policies to ensure the security and privacy of data
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- Take direction from business leaders, product managers, and senior Data Scientist(s)
- Assist in development of new analytical products for the Distribution Insight Platform or custom Distribution Insight client engagements
- Acquire and maintain knowledge of all North American Distribution Solutions products and functionality, keeping current as the product set evolves and new data sets or capabilities are added
- Keep abreast of competitors’ analytical offerings
- Keep current with trends in mutual fund distribution
- Help arrange analytical product demonstrations
- May perform other duties/responsibilities as needed or assigned.
Preferred Qualifications:
- Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Computer Science, or quantitative discipline (2-5 years experience)
- Understanding of and willingness to learn statistical analysis and modeling
- Ability to present complex data sets and analysis in easy to understand ways
- Experience with R and/or Python required
- Experience with SQL required for data mining
- Experience processing and analyzing large data sets. Expertise with Excel is required
- Investment product manufacturer and/or financial intermediary analytical experience preferred but not required (ideally product distribution or sales related)
- Previous work as Data Scientist or similar quantitative analytical experience required
- Data science-related certifications are a plus, but not required.
Skills/Competencies:
- Excellent analytical and problem-solving skills
- Capable of cogent demonstrations and presentations
- Solid understanding of product uses and value propositions
- Ability to work within a diverse team and serve a variety of stakeholders with different priorities
- Outstanding organizational skills and attention to detail