Overview

Analyze and manage the companys risks including maintaining and updating risk stresses across the enterprise, analyzing volatility, and performing RAC (Risk Adjusted Capital) analysis. Independently conduct risk analytics and modeling projects. Develop new models, analytic processes or systems approaches. Create documentation for all activities and works with Risk Technology staff in design of any system to run models being developed. Keep up with external development on insurance industry risks and perform internal analysis in various risks to appropriately reflect into our risk management. Provide support to EUCS/model (End User Computing) compliance such as documentation and testing. Provide guidance to stakeholders on risk related issues. Collaborate and coordinate with key business partners on actionable insights. Telecommuting permitted up to 3 days a week. Full time employment, Monday Friday, 40 hours per week, MINIMUM REQUIREMENTS: Must have a Masters degree in Financial Mathematics, Actuarial Science, or a related field, and 3 years of related work experience; OR a Bachelors degree in Financial Mathematics, Actuarial Science, or a related field, and 5 years of progressive, post-bachelor related work experience. Of the required experience, must have 3 years of experience in each of the following: Performing data analysis; and Utilizing Excel to (1) perform liability calculation using shortcuts and actuarial/financial formula functions, including NPV and INDEX MATCH; (2) Create pivot table to summarize large quantities of data; (3) Build charts and graphs to present analytical findings; and (4) Read and edit VBA codes in a macro to automate tasks. Of the required experience must have 2 years of experience in each of the following: Working in risk management or actuarial fields; Using Python for data analysis, modelling and statistical analysis; Using numerical libraries in Python, including Numpy, Pandas, and Scikit-learn; Automating and optimizing existing processes and tools using Python to improve efficiency and effectiveness; and Translate complex business requirements into solutions and communicate these solutions to both technical and non-technical audiences. Of the required experience must have 1 year of experience in each of the following: Using Power BI to create data models and relationships, including working with calculated columns, measures, and DAX expressions; Utilizing Power BI to produce advanced and dynamic elements to report visuals that are user-controlled; Extending Power BI functionality with Python; Insurance risk (Mortality, Morbidity, and Longevity); Conducting biomedical research; and Using statistical and mathematical models to analyses and evaluate mortality and morbidity risks and develop innovative solutions for risk management. Must have passed at least 3 exams towards achieving Associate of the Society of Actuaries (ASA) designation. Telecommuting permitted up to 3 days a week. .