Arbella is looking to solve the problem of developing and executing actuarial models and indication development, advanced analytics, innovation, and data-driven strategies. The company needs a leader to guide teams in delivering actionable insights, risk evaluations, predictive modeling, and financial forecasting to support business objectives and regulatory compliance.
Requirements
- Associate or Fellowship in the Society of Actuaries (FSA) or equivalent (required).
- Master’s or Ph.D. in Actuarial Science, Data Science, Statistics, Mathematics, or related field (preferred).
- Deep understanding of statistical modeling, machine learning, and AI applications in insurance or financial services.
- Experience with programming languages (e.g., Python, R, SQL) and data platforms.
- Proven experience in managing cross-functional teams including data scientists, actuaries, and analysts.
- Demonstrated ability to manage large teams.
- Effective analytical and problem-solving capabilities.
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.
- 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.
Other
- 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.
- Collaborate with senior executives on enterprise-wide decision-making , data strategy and governance and AI strategy and governance.
- Translate complex data insights into strategic business recommendations.
- 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.
