Assurant is a leading global business services company that supports, protects, and connects major consumer purchases. The Quantitative Business Assistant will support actuaries and business partners in product development, financial analysis, forecasting, and management reporting, while utilizing technical tools and analytical techniques to solve business problems.
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.
Qualification
Required
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.)
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.
Preferred
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
Benefit
Assurant provides protection products and related services to safeguard companies against risks.
