Company Overview
We are a leading property and casualty insurance provider, dedicated to quality service and innovation. As a family-owned company, we take pride in being one of the largest privately held insurance firms in the U.S., recognized for our disciplined underwriting and strategic claims management, which drive our success. We continually invest in our people and technology to ensure maximum efficiency and specialized operations across all states where we operate.
Role Overview
You will play an instrumental role in driving data-driven decisions by developing and maintaining predictive models that support underwriting, pricing, claims management, and overall business strategy. This position offers a primarily remote work arrangement, allowing you to work from your preferred location.
Key Responsibilities
- Develop and maintain sophisticated predictive models using statistical and machine learning techniques.
- Conduct thorough data analysis to uncover trends, patterns, and anomalies in insurance data.
- Ensure the accuracy, reliability, and robustness of predictive models, complying with industry standards and regulations.
- Document modeling methodologies, assumptions, and outcomes comprehensively.
- Collaborate with data engineers to maintain data quality, completeness, and consistency for modeling purposes.
- Address missing or erroneous data through effective data cleansing techniques.
- Work with cross-functional teams to translate business needs into actionable analytics solutions.
- Present findings and insights to both technical and non-technical stakeholders.
- Implement processes for monitoring model performance and recommend adjustments as needed.
- Stay informed about industry best practices and emerging trends in predictive modeling.
- Ensure compliance with industry regulations and assist in preparing necessary documentation for regulatory filings.
- Identify opportunities for process improvement and automation.
- Provide mentorship and guidance to junior analysts.
Qualifications
- Bachelor's degree in Statistics, Mathematics, Actuarial Science, Data Science, or related field (Master's preferred).
- 4-6 years of experience in predictive modeling, data analysis, or a related field, preferably in the insurance industry.
- Proficiency in advanced statistical software (e.g., R, Python, SAS) and data manipulation tools (e.g., SQL).
- Extensive experience with complex predictive modeling techniques (e.g., regression analysis, machine learning algorithms).
- Strong understanding of property and casualty insurance principles and industry trends.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication skills, able to convey complex ideas to non-technical stakeholders.
Benefits
- 401(k) Retirement Savings Plan with employer match.
- Comprehensive Medical, Prescription Drug, Vision, and Dental Insurance.
- Paid Time Off, Holidays, and Leave programs.
- Flexible Spending Accounts.
- Basic Life Insurance and Voluntary Life/ADD.
- Voluntary Short-Term and Long-Term Disability.
Salary Information
The salary range listed is an estimate and may not reflect the final offer. Actual compensation will be discussed during the interview process and will be based on experience and qualifications.
Equal Opportunity Employer
We are committed to providing equal employment opportunities for all employees, with decisions based on business needs, job requirements, and individual qualifications, without regard to protected statuses.
Employment Type: Full-Time