Quantitative Business Assistant

Overview of Position

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 including building out AI solutions, supporting the implementation of databases, and/or utilizing analytical techniques such as 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 will be my duties and responsibilities in this job?

Define scope of analysis and build framework (30%)

• 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.

 

Analyze business issues through data and technology (60%)

• 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.

 

Drive Change (10%)

• Produces presentations and visualizations to share with senior management teams and clients. Can communicate basic concepts to technical and non-technical audiences.

• Assists in implementing data models to be incorporated into business processes.

• 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.

• A minimum of 1 year of experience in development and application of applied statistical analysis, modeling, and optimization; research design using statistical software and other analytical tools, hypothesis testing, forecasting, CART, performing complex mathematical formulations to solve business problems, and problem-solving skills.

• Solid proficiency in MS Office Applications especially Excel/VBA, PowerPoint.

• Experience in working with any or all of statistical/data processing software such as Keras, Python, R, TensorFlow, etc.

• Experience in prompt engineering for AI systems, as relates to code build out for statistical applications.

• Experience working with querying relation databases (MySQL, SQL Server, Oracle, Postgres, etc.)

Other requirements

• 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 Databricks, 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

Pay Range:

$54,900.00 - $92,000.00

Any posted pay range considers a wide range of compensation factors, including candidate background, experience and work location, while also allowing for