Vice President, Head of Actuarial and Data Science

Arbella Insurance Group•Quincy, MA

48d•$280,000 - $325,000

About The Position

The Vice President Head of Actuarial and Data Science is a strategic leadership role responsible for overseeing the development and execution of actuarial models and indication development, advanced analytics, innovation and data-driven strategies. This leader will guide teams in delivering actionable insights, risk evaluations, predictive modeling, and financial forecasting to support the company’s business objectives and regulatory compliance. This leader has the ability to challenge, develop and lead their staff in pursuit of the function’s business objectives. A hands-on style, a service oriented/collaborative approach and a deep passion for excellence to align with the culture of Arbella and its values. Lead and grow high-performing actuarial and data science teams. Drive the integration of actuarial science and advanced analytics to inform pricing, underwriting, risk management, risk selection and business strategies. Collaborate with senior executives on enterprise-wide decision-making , data strategy and governance and AI strategy and governance. Oversee reserving, actuarial support for pricing and product development, and loss ratio forecasting activities. Ensure compliance with regulatory standards and support financial reporting. Lead actuarial valuation processes and assumption-setting. Guide the development of predictive models, machine learning applications, and AI tools to enhance decision-making. Establish best practices in data governance, model validation, and algorithm transparency. Translate complex data insights into strategic business recommendations. Partner with IT, Finance, Underwriting, Product, Office of General Counsel and Claim teams to integrate models and insights into operations. Present findings and recommendations to board members and stakeholders when necessary. Promote a culture of innovation, continuous improvement, and ethical use of data. Lead the adoption of new technologies, modeling techniques, and cloud-based analytics platforms. Demonstrated financial acumen and meet all financial plan goals with a disciplined approach. Represent the Actuarial/Data Science function in all executive meetings, and off-site events including agent councils, board, social, leadership and other required business planning. Foster a culture of accountability, innovation, and continuous improvement. Lead and nurture an environment that promotes employee engagement and Arbella values, including embracing the differences in all employees. Direct recruitment, staff development, performance management and succession planning.

Requirements

Associate or Fellowship in the Society of Actuaries (FSA) or equivalent (required).
15+ years of progressive experience in property and casualty actuarial roles, with at least 5-7 years in a senior leadership position.
Proven experience in managing cross-functional teams including data scientists, actuaries, and analysts.
Deep understanding of statistical modeling, machine learning, and AI applications in insurance or financial services.
Strong relationship builder and collaborator with a high degree of integrity and ethical standards.
Excellent communication skills, with the ability to break down complex ideas and articulate and present them to various audiences including senior leaders, officers, the Board of Directors, and Arbella’s independent agents.
High energy level: motivated to provide continuous improvement to the organization, must be a diplomatic change agent and advocate for the customer.
Ability to develop strong trusting relationships with our partner agents.
Proven record in attracting, developing, and retaining high-performing talent and building strong, collaborative teams.
Demonstrated ability to manage large teams.
Strategic thinker with strong business acumen and financial insight.
An innovative and creative collaborator with strong leadership presence and collaborative style.
Effective analytical and problem-solving capabilities.
Deep industry expertise in P&C and familiarity with reinsurance practices/partnerships.
Experience with programming languages (e.g., Python, R, SQL) and data platforms.

Nice To Haves

Master’s or Ph.D. in Actuarial Science, Data Science, Statistics, Mathematics, or related field (preferred).

Responsibilities

Lead and grow high-performing actuarial and data science teams.
Drive the integration of actuarial science and advanced analytics to inform pricing, underwriting, risk management, risk selection and business strategies.
Collaborate with senior executives on enterprise-wide decision-making , data strategy and governance and AI strategy and governance.
Oversee reserving, actuarial support for pricing and product development, and loss ratio forecasting activities.
Ensure compliance with regulatory standards and support financial reporting.
Lead actuarial valuation processes and assumption-setting.
Guide the development of predictive models, machine learning applications, and AI tools to enhance decision-making.
Establish best practices in data governance, model validation, and algorithm transparency.
Translate complex data insights into strategic business recommendations.
Partner with IT, Finance, Underwriting, Product, Office of General Counsel and Claim teams to integrate models and insights into operations.
Present findings and recommendations to board members and stakeholders when necessary.
Promote a culture of innovation, continuous improvement, and ethical use of data.
Lead the adoption of new technologies, modeling techniques, and cloud-based analytics platforms.
Demonstrated financial acumen and meet all financial plan goals with a disciplined approach.
Represent the Actuarial/Data Science function in all executive meetings, and off-site events including agent councils, board, social, leadership and other required business planning.
Foster a culture of accountability, innovation, and continuous improvement.
Lead and nurture an environment that promotes employee engagement and Arbella values, including embracing the differences in all employees.
Direct recruitment, staff development, performance management and succession planning.