At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team.
We are hiring a Data Scientist to join our Data Analytics team in Investor Communications Solutions.
The Data Scientist will be a skilled problem solver who has a passion for utilizing data to drive business results through insights and improved decision-making.
The position will involve working closely with internal teams at Broadridge as well as Broadridge clients’ for the planning, execution, and delivery of Broadridge analytics and data science products, which include a variety of predictive models, marketing analytics, forecasting, development of sales and business analytics, and more.
The Data Scientist will participate in analytical product development and custom consulting projects focused on delivering new analytical insights to clients.
This opportunity is for someone who wants to make an impact in advanced analytics and data science within the Asset Management segment of the FinTech Industry and will provide direct support to North American Distribution Solutions.
The Data Scientist will develop an analytical expertise that can result in new developments or enhancements to client engagements, as well as integration and improvements associated with Broadridge analytics products.
Job Responsibilities and Requirements :
- Experience in financial services with an emphasis in distribution
- Excellent communicator with the ability to problem solve through data and explain nuanced analytic output to end business users
- Lead analytics projects, working with business leaders, product managers, and other Data Scientist(s)
- Strong organizational skills and attention to detail
- Sporadic travel to meet with clients
- Develop new metrics and methodologies to achieve analytic goals of a clients Stay informed of / follow all relevant Broadridge policies to ensure the security and privacy of data
- 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 (7+ years experience)
- 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 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.
LI-NO1
Broadridge associates helped us envision our Connected Workplace - a work model that allows associates around the globe, dependent upon their role responsibilities, to take advantage of the benefits of both on-site and off-site work to support our clients, one another, and the communities where we live and work.
Our Connected Workplace is grounded in the concept of FACS : Flexible, Accountable, Connected, and Supported, which is our commitment to our associates.
FACS supports our strong culture and allows us to achieve business goals while supporting meaningful work-life integration for our associates.
We are dedicated to fostering a diverse, equitable, and inclusive environment and committed to providing a workplace that empowers associates to be authentic and bring their best to work.
We believe that associates can only do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company and ultimately a community that recognizes and celebrates diversity in all its dimensions.
We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best.
Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race, color, religion, sex (including sexual orientation, gender identity or expression, and pregnancy), marital status, national origin, ethnic origin, age, disability, genetic information, military or veteran status, and other protected characteristics protected by applicable federal, state, or local laws.
US applicants : Click to view the "EEO is the Law" poster.
If you need assistance or would like to request reasonable accommodations during the application and / or hiring process, please contact us at 888-237-7769 or by sending an email to .
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