Director, P&C Analytics
- Springfield, MO
- Permanent
- Full-time
- Provides clarity of the vision, strategy, growth, and development for pricing models and predictive analytics among all areas within P&C Operations (i.e., Underwriting, Product, Actuarial, ML Agencies, Marketing, SMG, Claims, Competitive Intelligence)
- Creates the appropriate documentation that allows stakeholders (i.e., executive management, regulators) to clearly understand the modeling methodologies, assumptions, and validation procedures for pricing and risk selection models within P&C Operations.
- Leads team to build and implement pricing models, predictive analytics solutions, and machine learning algorithms utilized by all areas within P&C Operations.
- Leads discussions with stakeholders from various business areas to translate their pricing and risk assessment needs by understanding data structures, determining model requirements, analyzing predictive variables, and evaluating model performance metrics.
- Monitors modeling projects that assist in translating complex statistical findings into easy-to-understand visuals and written summaries for non-technical audiences to ensure requirements and deadlines are met.
- Validates pricing algorithms, predictive models, and machine learning solutions developed by the Analytics teams for accuracy, stability, and business value.
- Monitors the models produced to ensure they remain compliant with regulatory requirements and actuarial standards of practice.
- Preferred Advanced degree in Actuarial science, Mathematics, Statistics, Data Science, or related quantitative field.
- 10 to 12 years of P&C experience with significant exposure to pricing and predictive modeling.
- Three to five years of supervisory/management experience leading technical teams. ACAS designation or FCAS preferred.
- Expert knowledge of P&C pricing methodologies including loss development, trend analysis, and rate indication techniques.
- Strong project management skills with ability to manage multiple concurrent initiatives.
- Excellent communication skills to present technical concepts to non-technical audiences.
- Strong Collaboration skills to works across functional Areas (Pricing, Underwriting, Product)
- Expert level coding skills with software (e.g., R, Python, SQL)
- Awareness of actuarial and statistical software (i.e. Emblem, Akur8).
- Familiarity within data visualization and model deployment tools (e.g., PowerBI, Tableau).
- Advanced degree (MS/PhD) in Statistics, Data Science, or related field with focus on predictive modeling. Experience with modern machine learning techniques and their application to insurance pricing:
- Machine learning frameworks (TensorFlow, PyTorch, scikit-learn, XGBoost, GLM, Decision Tree, Random forest)
- Cloud computing platforms (AWS, Azure, GCP) for model deployment
- Version control and MLOps tools (Git, MLflow, Kubeflow)
- Real-time pricing APIs and model deployment pipelines
- Alternative data sources (telematics, IoT, external data)
- Knowledge of regulatory requirements and rate filing processes across multiple jurisdictions
Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions.We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics.The collection of your personal information is subject to ourBenefits and CompensationWe offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program—including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.