Easter Seals Jobs

This is a job for a Remote Manager, Actuarial & Data Science Services with a company in the Jackson, MS area.

Job Summary: Manages a team responsible for assembling and managing data to facilitate a variety of Actuarial and Data Science functions including predictive modeling projects, advanced actuarial analysis, etc. The team works with other Actuarial and Data Science resources and Information Technology to deploy predictive models into a production environment to support key business functions. The team creates and maintains applications that leverage Actuarial and Data Science information.

Responsibilities: Creates, implements, and assesses appropriate data controls (e.g., reasonability checks, dollar/count controls, field requirements). Provides data necessary to measure the performance of models that are in production. Maintains an understanding of predictive analytics techniques necessary to successfully lead analytics data assembly efforts. Keeps abreast of data developments within the industry and transfers knowledge to the rest of the data team. Manages data team and participates in creation of departmental strategy. Directly supervises exempt and non-exempt staff in accordance with company policies and applicable Federal and State Laws. Assists with building model monitoring reports. Leads the data group as it assists the rest of the Predictive Modeling team working with Information Technology, Project Management and the Business Units on the implementation efforts required to move completed predictive models into a production environment to support key business processes. Ensures processes related to deploying models or creating applications are coordinated with IT best practices. This includes the creation of appropriate documents (PowerPoint presentations, etc.) to be used in the communication of Actuarial and Data Science initiatives. Responsibilities include budgeting, balancing workloads, creating efficiency through automation, special projects, quality improvement and oversight, acting as a subject matter expert and mentor and continuously evaluating toolset and methodologies. Develops, deploys and maintains diagnostic reports, dashboards and scorecards that assess and monitor enterprise, operating company and business unit performance and results on an ongoing basis. Manages collecting and organizing of data from various internal and external sources to prepare analyses and data sets for report generation, statistical analysis and data mining projects. Prepares and delivers reports and presentations with a level of detail appropriate for the intended audience.

Qualifications: Bachelor's degree in computer science, actuarial science, statistics, mathematics, or equivalent. Master's degree preferred. An equivalent combination of education and experience may be considered in lieu of degree. Continuous learning, as defined by the Company's learning philosophy, is required. Certification or progress toward certification is highly preferred and encouraged. Knowledge in quantitative analytics, including experience using statistical analysis software. Eight years' experience, two prior years' management experience, with data quality projects and industry practices, which provides the necessary skills, knowledge and abilities. Experience with statistics and data analysis, experience using various database platforms, data acquisition techniques, business intelligence and analysis tools. Expert level understanding of data architecture as it relates to business processes. Solid understanding of statistical principles and practices. Detailed understanding of information technology project implementation approaches preferred. Demonstrated skills in a variety of database platforms, data acquisition techniques, business intelligence and analysis tools. Demonstrated skills with process development and governance of data standards. Superior analytical skills. Demonstrated ability to use programming to engineer solu ions to tasks.

Equal Opportunity Employer -- minorities/females/veteran/other individuals with disabilities/Sexual orientation/gender identity.