Data Scientist

4 weeks ago


Boston, United States Broadridge Full time

Job Responsibilities:
1. Data mining and ability to translate raw data into meaningful insights and recommendations
2. Learn and apply advanced machine learning algorithms to further enhance Broadridge’s analytical offerings
3. Construction and maintenance of a variety of predictive models (lead scoring, look-a-like, retention, and other customized predictive models)
4. Develop new approaches to present complex analytical concepts using data visualization
5. Work with Product Management to identify and develop new and/or enhance existing analytical products from client interactions
6. Develop custom analytical solutions as required by Broadridge Distribution Insight clients
7. Stay informed of/follow all relevant Broadridge policies to ensure the security and privacy of data
8. Take direction from business leaders, product managers, and senior Data Scientist(s)
9. Assist in development of new analytical products for the Distribution Insight Platform or custom Distribution Insight client engagements
10. 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
11. Keep abreast of competitors’ analytical offerings
12. Keep current with trends in mutual fund distribution
13. Help arrange analytical product demonstrations
14. 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



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