Predictive Modeling Manager
4 weeks ago
About the Role
Society Insurance is seeking an experienced Predictive Modeling Manager to join our Actuarial team. This position will be heavily focused on predictive modeling and will play a crucial role in leveraging data to drive strategic decision-making and optimize financial outcomes.
The Predictive Modeling Manager will oversee the collection, analysis, and interpretation of complex data sets related to risk, finance, and insurance. By utilizing advanced statistical methods, predictive modeling, and data visualization techniques, the role will transform raw data into actionable insights.
Key Responsibilities
- Utilize and verify data to prepare predictive modeling analysis.
- Assist in the design of data structure necessary for the monitoring and reporting of results.
- Maintain clear and concise documentation of modeling methods, selections, and best practices.
- Work with other department stakeholders to shape best practices around the application of statistical modeling.
- Provide recommendations to management regarding the selection of outside vendors.
- Explore business problems provided through investigation and interviews with subject matter experts. Then model different potential solutions.
- Assess pros and cons of strategies of resolution for given area of assignment and bring forward recommendations for improvements or new processes to be implemented.
- Work with Change Management to map out communication and implementation plans of given changes.
- Maintain working knowledge of state legal requirements and current business and industry trends and practices as it pertains to model use and implementation.
- Work in collaboration with other leaders to ensure consistent compliance with state and federal departments of insurance and other regulatory agencies.
- Demonstrate effective leadership capabilities by attaining results through others. Through a self-sufficient and self-confident approach elicit the trust and confidence of their team.
- Define and implement data testing standards. This includes planning, creating, evaluating, and tracking testing results.
- Solve problems with a wide degree of creativity and latitude. Ensure quality and timeliness of assigned projects for the team.
- Monitor and mentor team members in development of their assigned project deliverables; appraise work results.
About You
- You enjoy working with others in a positive, proactive, and collaborative team setting.
- You enjoy coaching and developing others.
- You excel at communicating in a concise, direct, and unambiguous way.
- You empower and motivate others to take greater responsibility.
- You are results driven and make decisions that are based on sound evidence.
- You are analytically focused and enjoy making fact-based decisions.
- You are organized and easily assess data quality and can organize it coherently.
- You enjoy taking a systematic approach to making process improvements.
- You enjoy analyzing, investigating, and using the facts to make decisions.
What it Will Take
- Bachelor degree in Math, Statistics, Economics, or related field.
- 5+ years of modeling experience.
- Proficient skills in SQL, Excel, and BI reporting tools to create reports, dashboards, and analytics.
- Strong working familiarity of industry standards, regulations, etc. including working knowledge of organizations such as PAAS, ISO, NCCI, and WCRB.
- Prior experience successfully supervising, leading, training, or directing others.
- Knowledge of the property and casualty insurance industry and related business processes.
- A general understanding of a Data Warehouse structure.
- Master's degree in Statistics highly desirable.
- Completion of insurance and/or premium auditing designations highly desirable: AINS, APA, CPCU, CIPA, etc.
- Successfully attained ACAS or FCAS highly desirable.
What Society Can Offer
- Comprehensive Benefits Package: Salary with bonus plan; Health, Dental, Life, and Vision insurance.
- Retirement: Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit-Sharing Plan.
- Work-Life Balance: Company-paid holidays; Flexible scheduling; PTO; Telecommuting options.
- Education: Career Coaching; Company-paid courses; Student loan and Tuition reimbursement.
- Community: Charitable Match; Paid Volunteer time; Team Sponsorships.
- Wellness: Employee Assistance Program; Wellness Initiatives/Rewards; Health Coaching; and more.
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