We are looking for a highly analytical and detail-oriented Actuarial Advisor to join our actuarial team. This role will support strategic business decisions by applying actuarial principles to pricing risk assessment reserving and forecasting activities. The ideal candidate will contribute insights through quantitative analysis statistical modeling and financial risk evaluations.
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Perform actuarial analysis related to pricing reserving financial reporting and risk modeling.
Support product development and profitability assessments through statistical analysis and scenario testing.
Analyze historical data and trends to develop forecasts and support business planning.
Collaborate with underwriting finance risk management and data science teams to inform cross-functional initiatives.
Ensure compliance with actuarial standards of practice and regulatory requirements (e.g. IFRS 17 Solvency II).
Prepare technical documentation actuarial reports and presentations for internal and external stakeholders.
Maintain and improve actuarial models and tools using software such as Excel R SAS Prophet or Python.
Assist with annual budgeting reinsurance analysis and risk-based capital calculations.
Support the development of junior actuarial team members if applicable.
Education:
Bachelors degree in Actuarial Science Mathematics Statistics Finance or a related field.
Experience:
25 years of actuarial experience in insurance reinsurance consulting or financial services.
Progress toward actuarial certification (e.g. ASA ACAS near-FSA/FIA) strongly preferred.
Skills:
Strong analytical and quantitative problem-solving skills.
Proficiency in actuarial software/tools (e.g. Prophet AXIS R Python SQL).
Solid understanding of actuarial principles reserving techniques and pricing methodologies.
Excellent communication skills to explain complex actuarial concepts to non-technical stakeholders.
Detail-oriented with strong organizational and time management skills.
Experience with life health or P&C insurance (depending on business line).
Familiarity with emerging regulations and standards (e.g. IFRS 17 LDTI RBC frameworks).
Understanding of machine learning or predictive modeling techniques is a plus.
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