Senior QA Developer
Clicklease
JavaJavaScriptPostgresSeleniumSpring
Senior Actuarial Data Analyst
EMC Insurance Companies
full-time
Posted on:
Origin: • 🇺🇸 United States • Iowa
Visit company websiteSalary
💰 $83,925 - $127,495 per year
Job Level
Senior
Tech Stack
JavaPostgresPythonSQL
About the role
- Provides expertise on the development and the implementation of the Actuary Department’s rating engine development, maintenance and rating element capture strategies
- Leads the development of solution specifications for the policy administration system's rating engine and rate change monitoring tools and validates implemented solutions are compliant with identified specifications
- Partners with business units to gather information about their data analytics needs, business requirements, desired rating algorithm attributes, and/or desired rating component capture needs
- Performs research and analysis of data elements or rating algorithms, acquires necessary data and elements, and develops and executes associated testing plans
- Serves as leader for project execution strategies and estimation of timelines and data deliverables
- Assigns customer data extraction value and prioritizes requests in order of most critical to business partners and projects
- Ensures the planning and performance of highly complex data and/or element assignments, including data/element capture, aggregation, comparison, and extraction, for Actuary, including the parsing, joining, standardizing, cleansing, consolidating and filtering of data across inter-related data platforms to create desired outputs that can be leveraged by business users
- Manages stories and subtasks, working with team members to assess available capacity and develop agreeable customer timelines for the most efficient data solutions to business needs
- Provides project work direction to actuarial team members and stakeholders and advises leadership of any potential issues and delays
- Provides expertise for cross-functional projects, including pricing enhancement research teams, line of business deep dives, in-depth industry vertical analysis, and branch business planning
- Serves as a subject matter expert in undertaking project segments and corporate initiatives involving assigned applications, business area datasets and source systems
- Collaborates as appropriate with IT partners to develop solutions
- Leads the development and execution of testing procedures to ensure quality of data and work products
- Troubleshoots and corrects complex project problems involving data and programming logic errors
- Performs peer reviews of work to maintain the integrity of the work product
- Proactively identifies data quality issues and immediately communicates issues to the appropriate technical steward for data fixes
- Ensures all processes and projects are compliant with data governance policies and statutory requirements
- Prepares and maintains documentation related to assigned data, reports and processes in accordance with best practices, including disaster recovery
- Mentors and trains other team members on programming techniques, system functionality, and relational database structure
- Proactively engages in professional development related to the insurance industry, technology, data platform, reporting tool changes, statistical analysis, data management, and computer programming skills
Requirements
- Bachelor’s degree, preferably in computer science, actuarial science, data science, mathematics, or a related field, or equivalent relevant experience
- Seven years of experience in data management, data analysis, or insurance analytics or related experience
- Insurance experience preferred
- Excellent planning skills in the areas of data management/extraction or insurance rating/monitoring intelligence
- Excellent programing capabilities and/or insurance rating knowledge, including knowledge of at least two computer languages, such as R, Python, SQL, Visual Basic, JAVA or PostGreSQL
- Excellent knowledge of Excel, PowerPoint and PowerBI and Word
- Strong knowledge of system interactions and available data platform environments
- Superior knowledge of analytical and data terminology, concepts and theory
- Familiarity with actuarial terminology, concepts, and theory preferred
- Strong analytical, investigation and problem-solving abilities
- Excellent verbal and written communication skills, including documentation
- Excellent human relations customer service skills
- Excellent attention to detail, organizational and multi-tasking skills
- Ability to maintain a high degree of confidentiality
