Join our dedicated team at our company, where we strive to make a meaningful impact beyond just policies and coverage. We are excited to offer you the chance to shape your future while helping others achieve their goals.
We are seeking a passionate and innovative leader in data science to build and lead a high-performing analytics team in our Homeowners division within the Personal Insurance Loss and Demand Modeling team. Your mission will be to empower our product and pricing partners by providing robust solutions, including modeling and implementation support. As the Director, your collaboration with business, technology, and data teams will be crucial in designing and executing strategic frameworks that enhance our pricing sophistication and competitive advantage.
This position offers a Hybrid or Remote work arrangement. Candidates residing near our office locations in Hartford, CT; San Antonio, TX; Scottsdale, AZ; Charlotte, NC; Tampa, FL; or Columbus, OH will need to work in the office three days a week (Tuesday through Thursday), while remote candidates can work from home with occasional office visits as necessary.
Key Responsibilities:
• Lead and mentor a talented team of data scientists in creating, validating, and maintaining effective solutions for complex business challenges.
• Regularly review project deliverables with leadership and partners to ensure alignment with expectations.
• Focus on enhancing product pricing strategies and improving the predictive accuracy of models.
• Investigate and evaluate new data sources and analytical techniques to uphold our competitive edge.
• Effectively communicate complex analytics to decision-makers, highlighting business impacts.
• Apply statistical methodologies along with sound economic judgment to develop models that drive profitable growth.
• Work collaboratively with leadership to provide constructive feedback and develop growth plans for team members.
• Utilize Agile frameworks to manage team priorities and project roadmaps effectively.
Qualifications:
• Master's or Ph.D. in Statistics, Data Science, Applied Mathematics, Actuarial Science, Quantitative Economics, AI Machine Learning, or a related analytical field.
• A minimum of 8 years of experience in research roles within the Property & Casualty insurance industry or related fields, with direct experience in pricing models preferred.
• At least 3 years of experience managing a team and establishing priorities to meet business objectives.
• Proficient in Python programming.
• Familiarity with MLOps, including model deployment and CI/CD processes, is a plus.
• Strong expertise in statistical modeling is essential.
• Exceptional strategic thinking and analytical skills.
• Excellent verbal and written communication abilities, capable of engaging effectively with all levels of the organization.
• In-depth business acumen to translate complex technical topics into actionable business strategies.
• Proven track record in driving change in core business processes through innovative quantitative techniques.
• Outstanding negotiation and conflict resolution skills.
• A strong commitment to efficiency, thoroughness, and professionalism.
• An innovative mindset in analytical approaches and project development.
• Results-driven with a strong sense of urgency and accountability.
• A customer-centric approach, fostering relationships with internal partners in various functions including claims, actuarial, underwriting, and IT.
Compensation:
The expected annual base pay range for this role is $153,200 - $229,800, based on market analysis. Actual pay may vary based on performance and other factors. Additionally, our company offers various rewards, including bonuses and recognition programs.
We are proud to be an Equal Opportunity Employer, committed to embracing diversity and inclusion.
We appreciate the contributions of every team member and are dedicated to innovating for better customer, community, and employee service.
