Chief Actuary

Key Responsibilities:

• Model Development & Optimization:
• Lead the development, validation, and optimization of complex actuarial models for pricing, risk assessment, and financial forecasting.
• Design, implement, and maintain predictive models (e.g., GLMs, machine learning models) to inform business strategies and enhance decision-making.
• Utilize advanced statistical techniques to identify patterns, trends, and insights from large datasets.
• Data Analysis & Insights:
• Leverage strong data manipulation and statistical skills to extract actionable insights from large, complex data sets.
• Perform experience studies, risk analyses, and stress testing to assess financial and insurance risk.
• Work closely with data scientists and IT teams to ensure the integration of data, models, and reporting systems.
• Risk Management & Reporting:
• Provide technical guidance in assessing and quantifying risks across the organization's portfolio.
• Develop and maintain actuarial reports for senior management, highlighting key findings and risk exposures.
• Oversee the preparation of actuarial assumptions, including loss ratios, discount rates, and reserve calculations.
• Leadership & Mentorship:
• Lead and mentor a team of actuaries, providing guidance on technical actuarial methodologies and model implementation.
• Collaborate with cross-functional teams (e.g., underwriting, finance, claims) to ensure alignment on technical assumptions and model outputs.
• Drive a culture of continuous improvement, ensuring that actuarial methodologies and tools remain at the cutting edge of industry practices.
• Technical Oversight & Quality Assurance:
• Ensure that actuarial models and methodologies comply with regulatory standards and internal policies.
• Perform model validation, back-testing, and performance monitoring to ensure ongoing model accuracy and relevance.
• Provide expertise on actuarial software, systems, and tools, ensuring the team utilizes the most appropriate and effective solutions.
• Stakeholder Collaboration & Communication:
• Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.
• Collaborate with external auditors, consultants, and regulators on actuarial matters as needed.
• Participate in strategic planning sessions and provide actuarial insights to support business objectives.

Qualifications:

• Education:
• Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field. A Master's degree is a plus.
• Professional Certification:
• FSA (Fellow of the Society of Actuaries) or equivalent actuarial qualification is required.
• Associate-level or higher certification in actuarial science preferred.
• Experience:
• 7+ years of experience in the actuarial field with a strong technical focus (e.g., statistical modeling, machine learning, advanced data analysis).
• Proven experience leading complex actuarial projects and managing actuarial teams.
• Experience in actuarial software (e.g., R, Python, SAS, MATLAB) and data analytics platforms.
• Technical Skills:
• Advanced knowledge of statistical modeling techniques, predictive analytics, and machine learning algorithms.
• Strong programming skills in languages such as Python, R, or similar.
• Experience with actuarial systems (e.g., Prophet, Moses, SAS) and databases (e.g., SQL).
• Familiarity with actuarial reserving, pricing, and financial modeling techniques.