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Quantitative Business Assistant

  • Miami, Florida
  • R-97042
  • Data Analytics Staff
  • Full Time
  • Added

The Quantitative Business Assistant supports actuaries and business partners within four functional workstreams; product development, financial analysis, forecasting, and management reporting including ad-hoc research. To deliver on commitments, this role focuses on introducing technical tools to user groups, supporting the implementation of databases, and/or utilizing analytical techniques including applied statistical analyses, regression analysis, forecasting, and performing other complex mathematical formulations to solve standard business problems.

This role is required to independently support standard projects that are deadline driven and impact the performance of Assurant’s products and services. The Quantitative Business Assistant will also support formulating key findings and implementing solutions based on data science methods and/or statistical expertise to clients and various stakeholders in the organization. The Quantitative Business Assistant generally reports to a Lead, Supervisor or Manager in the Actuarial department.

What Makes us different?

  • Everyone is encouraged to come up with new ideas to make our customers’ lives better.
  • Our vision unites us. By living our purpose, values, and commitments, we’re working together toward a common goal; creating the future of Assurant.

What will be my duties and responsibilities in this job?

  • Works on assigned business cases from business leaders' requests on gaps in technical issues.
  • Assists in identifying optimal business solutions through data, systems, and technical tools.
  • Assists in formulating data models by applying technical concepts of Data Science and Statistical study.
  • Assists with developing global data marts and databases for modeling, helps to maintain data governance for data mart and supports enhancements to data.
  • Utilizes existing programs and tools to mine the data.
  • Tests hypothesis and presents results; suggests options and collects recommendations.
  • Produces presentations and visualizations to share with senior management teams and clients. Can communicate basic concepts to technical and non-technical audiences.
  • Maintains implemented data models.

What are the requirements needed for this position?

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science/Analytics, Information Science, or related field.
  • 0-3 years of experience in development and application of applied statistical analysis, modeling, and optimization; research design using statistical software and other analytical tools, hypothesis testing, regression analysis, forecasting, CART, performing complex mathematical formulations to solve business problems, and problem-solving skills.
  • Solid proficiency in MS Office Applications especially Excel/VBA, PowerPoint, and various data repository applications (SAS/SQL/etc).
  • Experience in working with any or all of statistical/data processing software such as R, SAS, Python, SPSS, MATLAB, etc.
  • Handles basic conflicts independently and seeks advice on more complicated matters. 
  • Establishes rapport with internal and external groups to stay abreast with ongoing activity that may need actuarial engagement.
  • Demonstrates cordial, clear, and concise writing abilities through various forms of media related to technical and non-technical topics.

What other skills/experience would be helpful to have?

  • Experience with Tableau, and/or Microsoft Power BI.
  • Basic knowledge of cloud-based solutions such as Azure and/or AWS.
  • Basic knowledge of containers such as Kubernetes and/or Docker.
  • Basic knowledge of Git/DevOps.
  • Has introductory level of understanding actuarial concepts, insurance products, and industry knowledge

What are the working conditions and physical requirement of this job?

We are working virtually now.  At some point in the near future we will be working onsite.

How much should I expect to travel?

Up to 5%

Helping People Thrive in a Connected World
We work with the world’s top brands to make smart devices simpler. Vehicles last longer. Homes more secure. Problems easier to solve. And we volunteer in communities all over the globe to help the world become a greener, better place. We come from a variety of countries, cultures and backgrounds. But we’re united by our enduring values of common sense, common decency, uncommon thinking and uncommon results. So connect with us. Bring us your best work and your brightest ideas. And we’ll bring you a place where you can thrive. Learn more at

For U.S. benefit information, visit For benefit information outside the U.S., please speak with your recruiter.

Our Culture Defined
Our unique culture is a big reason why talented people choose Assurant and why they tend to stay. Although we have a wide variety of skills and experiences, we share common characteristics that are uniquely Assurant. A passion for service. An ability to innovate in practical ways. And a willingness to take chances. We believe that staying on top doesn’t mean sacrificing our values. We believe clarity of vision and a sense of purpose will carry us forward. And we take charge of our own success. We call it The Assurant Way.

Company Overview
Assurant is a leading global business services company that supports, protects and connects major consumer purchases. A Fortune 500 company with a presence in 21 countries, Assurant supports the advancement of the connected world by partnering with the world’s leading brands to develop innovative solutions and deliver an enhanced customer experience through mobile device solutions, extended service contracts, vehicle protection services, renters insurance, lender-placed insurance products and other specialty products.

Equal Opportunity Statement
Assurant is an Equal Employment Opportunity employer and does not use or consider race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or any other characteristic protected by federal, state or local law in employment decisions.

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