Note: The job is a remote job and is open to candidates in USA. The Mutual Group is a company that focuses on providing innovative insurance solutions, and they are seeking a Senior Predictive Modeler to enhance their strategic decision-making through advanced predictive modeling. This role involves designing, developing, and deploying predictive models in collaboration with various business leaders to solve complex business problems and improve operational efficiency.
Responsibilities
- Design, develop, and optimize advanced predictive models using a broad range of statistical, machine learning, and actuarial techniques, including but not limited to GLMs, GBMs, random forests, time series, and survival models
- Perform deep feature engineering, variable selection, and transformation to improve model stability, interpretability, and performance
- Evaluate and compare candidate models using rigorous validation techniques, including cross-validation, back-testing, lift analysis, and sensitivity testing
- Balance model accuracy, robustness, and explainability to ensure business usability and regulatory acceptance
- Apply predictive models to influence complex business problems such as pricing, risk evaluation, customer lifetime value, demand forecasting, and operational efficiency in order to influence business decisions
- Quantify business impact through financial metrics (e.g., lift, ROI, loss ratio improvement, margin improvement)
- Translate modeling outputs into clear recommendations and decision strategies for senior leaders
- Own model documentation, assumptions, limitations, and versioning in alignment with internal governance standards
- Partner with model validation, audit, and risk teams to support model reviews and respond to findings
- Develop and maintain model performance monitoring frameworks, including drift detection, recalibration strategies, and retraining schedules
- Ensure adherence to regulatory, ethical, and fairness standards, including bias detection and mitigation where applicable
- Serve as a subject matter expert on predictive modeling methodologies and best practices across the organization
- Identify opportunities for new data sources, modeling enhancements, and advanced techniques to drive competitive advantage
- Lead technical discussions, model reviews, and innovation initiatives within the analytics community
- Establish modeling standards, reusable frameworks, and best practices to scale analytics capabilities
- Mentor junior modelers and analysts on advanced modeling techniques, diagnostics, and storytelling
- Review peer models and analyses, providing technical guidance and constructive feedback
- Contribute to internal training, knowledge repositories, and analytics communities of practice
Skills
- Bachelor's degree in Statistics, Mathematics, Economics, Actuarial Science, Data Science, or a related quantitative field
- 5 to 8+ years of experience in predictive modeling, advanced analytics, or actuarial modeling
- Strong proficiency with modeling techniques (e.g., regression, classification, survival models, machine learning)
- Advanced programming skills in one or more of the following: Python, R, SAS, SQL
- Experience working with large datasets, data warehouses, or modern analytical data platforms
- Strong analytical thinking and quantitative skills
- Demonstrated experience translating analytical work into business impact
- Excellent communication skills, including the ability to explain complex models to executive audiences
Benefits
- Competitive base salary plus incentive plans for eligible team members
- 401(K) retirement plan that includes a company match of up to 6% of your eligible salary
- Free basic life and AD&D, long-term disability and short-term disability insurance
- Medical, dental and vision plans to meet your unique healthcare needs
- Wellness incentives
- Generous time off program that includes personal, holiday and volunteer paid time off
- Flexible work schedules and hybrid/remote options for eligible positions
- Educational assistance
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