Job Overview
We are seeking an accomplished Senior Predictive Analyst to become a vital part of our esteemed organization within the property and casualty insurance sector. Our commitment to excellence in service delivery to our agents and clients sets us apart in the industry, and your expertise will significantly enhance our data-driven decision-making processes.
Key Responsibilities
- Design and refine advanced predictive models using statistical and machine learning methodologies to guide underwriting, pricing, and claims management.
- Perform comprehensive data analysis to identify trends, patterns, and anomalies in insurance-related data.
- Ensure the precision and reliability of predictive models by validating and documenting their performance in adherence to industry standards.
- Maintain thorough documentation of methodologies, assumptions, and outcomes from modeling efforts.
- Collaborate with data engineering teams to guarantee data integrity and consistency for predictive modeling initiatives.
- Employ data cleansing methods to rectify any discrepancies in the data.
- Engage with cross-functional teams, including actuaries and underwriters, to gather analytics requirements and deliver actionable insights.
- Communicate findings effectively to both technical and non-technical stakeholders with clarity and precision.
- Establish processes for ongoing model performance monitoring and recommend necessary adjustments.
- Stay current with industry best practices and emerging predictive modeling trends.
- Assist in ensuring compliance with industry regulations and contribute to regulatory documentation.
- Identify and propose enhancements for process improvement and automation to increase efficiency in predictive analytics.
- Mentor and support junior analysts in their professional development.
Required Skills
- Strong proficiency in advanced statistical software (e.g., R, Python, SAS) and data manipulation tools (e.g., SQL).
- Extensive experience with complex predictive modeling techniques, including regression analysis and machine learning algorithms.
- Exceptional analytical and critical thinking skills.
- Excellent communication abilities to convey complex concepts to diverse audiences.
Qualifications
- Bachelor's degree in Statistics, Mathematics, Actuarial Science, Data Science, or a related discipline; a Master's degree is preferred.
- 4-6 years of progressively responsible experience in predictive modeling, data analysis, or a relevant area within the insurance industry, demonstrating leadership and problem-solving capabilities.
Career Growth Opportunities
This role presents an excellent opportunity for professional development, allowing you to enhance your analytical skills while also mentoring junior team members.
Company Culture And Values
Our organization fosters a collaborative and innovative environment where team members are empowered to thrive and contribute to impactful projects. We are dedicated to continuous improvement and value the contributions of every member of our team.
Compensation And 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
Please be aware that the salary range provided is an estimate and may not reflect the actual compensation for this position. Final salary discussions will take place during the interview process.
We are an Equal Opportunity Employer committed to creating a diverse and inclusive workplace. All employment decisions will be made based on business necessity, job requirements, and individual qualifications.
Employment Type: Full-Time