Senior Predictive Modeler

GENERAL PURPOSE OF THE JOB:

The Senior Predictive Modeler provides advanced technical and quantitative support to build, test, validate and maintain complex predictive models that contribute to the profitable business or products; the incumbent is responsible for performing and coordinating the successful completion of various actuarial projects relating to analyzing, summarizing, and reporting of complex and detailed financial information.

Location: This role will work an onsite/hybrid schedule from our West Des Moines location.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Builds, tests, validates and maintains complex predictive to forecast policyholder behavior.
• Explores and utilizes advanced modeling techniques.
• Determines necessary data sets and translates data into viable insights and business recommendations.
• Performs statistical analysis and actuarial research, drawing business inferences, developing reports and presenting analysis and recommendations that contribute to pricing and financial model enhancement.
• Uses Python, R and SQL to perform experience study administration and reporting.
• Creates visualizations, dashboards and/or reports illustrating cause and effect relationships and big data sets into user-friendly, easy to understand presentations.
• Contributes to department-wide process improvement efforts, including providing a thorough understanding of existing processes, identifying inefficiencies and developing and prioritizing corrective actions.
• Assists monthly monitoring reports on our key actuarial assumptions.
• Assists with data analysis on annuity policyholders.
• Shares results of analyses and identify trends outside of tolerance through heatmaps or other automated processes.
• Assists in compilation and analysis of monthly, quarterly, and annual surveys.
• Assists in the preparation of materials for the Assumption Approval Group.
• Troubleshoots and resolves data reporting problems.
• Performs complex analysis and management reporting regarding policy and product related data and reinsurance.
• Performs ad hoc analyses as the business need dictates.
• Performs other related work as assigned.

SUPERVISORY RESPONSIBILITIES:

Direct Reports: None

General Description of Indirect Reports (2 and 3-downs): None

EDUCATION AND/OR EXPERIENCE:

Bachelor’s degree (B.A.) from four-year college or university in actuarial science, math, statistics, data science or other related field of study; plus five (5) or more years of insurance related predictive modeling experience; or equivalent combination of education and/or experience.

Strong experience with writing advance SQL and a comprehensive understanding of relational databases is required.

CERTIFICATES, LICENSES, PROFESSIONAL DESIGNATIONS:

None

KNOWLEDGE, SKILLS AND ABILITIES:

• Strong knowledge of predictive modeling techniques, principles and best practices.
• Advanced knowledge of R, Python or another statistical software.
• Demonstrated ability to implement findings from predictive modeling analyses.
• Solid understanding of database and data mining principles.
• Strong customer service orientation.
• Effective verbal and written communication skills.
• Strong systems aptitude and analytical skills.
• Advanced mathematical skills and strong attention to detail.
• Ability to work cooperatively and successfully with employees, customers, and other outside third parties.
• Strong organizational and planning skills.
• Proficient in the use of Microsoft Office Suite.
• Ability to write reports, business correspondence, and procedure manuals.
• Ability to effectively present information and respond to questions.
• Ability to read, analyze, and interpret general business periodicals, professional journals and technical/operational procedures.
• Ability to define problems, collect data, establish facts, and draw valid conclusions.
• Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists.
• Ability to successfully handle pressure and meet deadlines in a fast-paced work environment.

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