Predictive Modeling & Risk Scientist

Cover Whale; Charlotte (NC); On-site; USD 128,000 - 185,000; Full time

Benefits offered by this job

Health Care Plan (Medical, Dental & Vision)

Retirement Plan (401k) match

Wellness benefits

Life Insurance

Paid Time Off

Paid Family Leave

Tuition Assistance

Professional Training & Development

Job summary

Cover Whale is seeking an Actuarial/Data Science professional in Charlotte, NC. This role involves owning and evolving reserving and predictive modeling capabilities, driving pricing strategies, and enhancing risk selection processes.

The ideal candidate will possess strong analytical skills and proficiency in Python, with extensive experience in insurance analytics and predictive modeling. Cover Whale offers a competitive salary between $128,000 - $185,000 along with a comprehensive benefits package.

Qualifications

• Experience with insurance analytics, actuarial modeling, or predictive risk modeling.
• Strong proficiency in Python for statistical modeling and data analysis.
• Experience applying machine learning techniques such as regression models, classification models, or anomaly detection.

Responsibilities

• Own and improve the end-to-end reserving process and Python-based reserving models.
• Develop predictive models using telematics, claims, and policy data.
• Translate complex data insights into actionable business recommendations.

Skills

Insurance analytics

Actuarial modeling

Predictive risk modeling

Python programming

Machine learning techniques

SQL

Education

Actuarial Science or Mathematics degree

Tools

Python

SQL

Job description

Overview

Cover Whale is the nation's leading commercial trucking insurtech. We improve road safety by combining the insurance products we sell with our telematics-based, data-driven driver coaching and safety program known as DriveSmart. Our program is proven to save lives while delivering better insurance for our drivers. For more information, please visit www.coverwhale.com.

The Role

We are seeking a highly analytical, technically strong Actuarial/Data Science professional to own and evolve our end-to-end reserving and predictive modeling capabilities. This role will maintain and enhance our Python-based reserving models while building predictive models using live telematics and claims data to drive pricing, cancellation strategy, and large loss detection. The position sits at the core of our underwriting and growth strategy, directly influencing dynamic pricing, loss ratio performance, and profitable expansion. This is a very exciting and high-impact job that involves a lot of thinking, research, and creativity.

Please note: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Responsibilities

• Own and continuously improve the end-to-end reserving process, including maintaining and enhancing Python-based reserving models to improve accuracy and efficiency
• Develop and deploy predictive models using telematics, claims, and policy data to improve pre-bind and post-bind risk selection, with measurable impact on ULR and cancellation performance
• Build and refine large loss models using claims notes and historical data to improve early identification of high-risk claims
• Design and implement dynamic pricing frameworks and capabilities leveraging live market and portfolio data
• Translate complex data insights into clear actionable business recommendations for underwriting, growth, and leadership teams
• Produce carrier-level reporting deliverables and analytical outputs that meet high-quality and compliance standards
• Create agency-level and geographic performance insights to guide growth strategy and strategic initiatives
• Automate recurring analyses and reporting workflows to increase speed, scalability, and reliability

Requirements

• Experience with insurance analytics, actuarial modeling, or predictive risk modeling in the insurance industry
• Strong proficiency in Python for statistical modeling and data analysis
• Comfortable leveraging AI-assisted coding tools while critically validating outputs
• Experience working with large-scale datasets and building production-grade analytical models
• Demonstrated experience with actuarial reserving models or insurance forecasting methodologies
• Experience applying machine learning techniques such as regression models, gradient boosting, classification models, or anomaly detection
• Ability to design models that influence pricing, underwriting decisions, and portfolio risk management
• Strong SQL and data manipulation skills
• Experience building automated analytical pipelines or reporting workflows

Soft Skills

Curious, hard-working, thinking outside of the box, creative, attention to detail, and use of Claude code.

Preferred Qualifications

Actuary, Mathematics, Big Four consulting experience.

Work Exercise

Candidates advancing through the interview process may be asked to complete a brief work exercise related to predictive modeling and risk analysis. The exercise is designed to reflect real-world challenges relevant to the role. Candidates completing this step will receive reasonable compensation for their time.

Benefits

Compensation:

The expected base pay for the role will be $128,000 - $185,000 at the commencement of employment. However, base pay if hired will be determined on an individualized basis and depends on the geographical location, years of experience, etc., and is only part of the total compensation package, which may also include discretionary bonus and other Cover Whale-sponsored total rewards/benefits.

Perks/Benefits:

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k) match
• Wellness benefits, including EAP, Gym Reimbursement, etc
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Paid Family Leave (Maternity, Paternity)
• Tuition Assistance
• Professional Training & Development