Director - Predictive Modeling

February 24

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The Muse

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The Muse is a career platform that helps individuals find fulfilling work by matching them with companies where the culture, values, and job perks align with their personal and professional needs. The platform offers a wide range of resources such as job listings, company profiles, career advice, and coaching services to assist job seekers in navigating their career paths. Additionally, The Muse provides insights into company cultures by showcasing office environments and employee experiences, ensuring that candidates can make informed decisions before applying for positions. The Muse focuses on providing a personalized career search experience and aims to match job seekers with careers that will truly satisfy them.

Career Advice • Job Opportunities • Women in Business • Job Search • Career Discovery

51 - 200 employees

Founded 2011

👥 B2C

🎯 Recruitment

📚 Education

📋 Description

• The Director, Predictive Modeling will oversee and manage a small team of analysts and/or work independently while taking ownership of key modeling projects within our homeowners, auto, and umbrella lines of business. • This role will require a blend of technical expertise, leadership, and strategic insight to drive initiatives that enhance our pricing, risk assessment, and product development. • Lead a team of analysts in the development and implementation of predictive models and statistical analyses for homeowners, auto, and umbrella lines of business. • Take full ownership of modeling projects, from conceptualization and data collection to implementation and ongoing evaluation. • Provide leadership, mentorship, and professional development for team members, fostering a culture of continuous learning and collaboration. • Develop and refine the pricing strategy for high net worth personal insurance products, ensuring that models and decisions align with the company’s business goals and risk appetite. • Collaborate with cross-functional teams, including underwriting, actuarial, product development, and IT, to ensure the successful execution of projects and modeling strategies. • Present findings, insights, and strategic recommendations to senior leadership and other key stakeholders in a clear, actionable format. • Drive process improvements and innovations within the analytics department to enhance model efficiency, data quality, and the overall decision-making process. • Ensure that all models and analyses comply with regulatory requirements and industry standards. • Manage and prioritize multiple projects, ensuring that deadlines are met and resources are appropriately allocated. • Stay informed on industry trends, new analytical techniques, and regulatory changes to maintain competitive advantage and ensure best practices are followed.

🎯 Requirements

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Economics, or a related field (Master’s degree preferred). • Significant experience in the insurance industry, specifically in personal lines (homeowners, auto, umbrella) with a focus on statistical modeling and data analysis. • Proven experience in a leadership or management role, with the ability to manage, mentor, and motivate a team of analysts. • Expertise in statistical modeling techniques such as GLMs, regression analysis, and other predictive modeling methods. • Strong project management skills with a track record of owning and delivering complex, high-priority projects on time and within scope. • Progress toward or attainment of actuarial credentials (ACAS/FCAS) is preferred. • Proficiency in programming languages such as Python and experience with large datasets and analytics tools. • Excellent communication and presentation skills, with the ability to interact with senior management and translate technical findings into business strategies. • Strong problem-solving abilities and a strategic mindset, with the capacity to balance technical rigor with business considerations.

🏖️ Benefits

• Competitive salary and benefits package. • Leadership and professional growth opportunities, with support for continuing education and advancement. • A dynamic, innovative, and collaborative work environment.