Job description
Join Atlas Actuarial Solutions, a leading actuarial consulting and analytics firm, to shape pricing, reserving, and risk management for premier clients across life and property casualty segments.
In this role you will leverage advanced statistical modelling, data visualization, and cross functional collaboration to deliver actionable insights that drive profitability and strategic decision making.
Responsibility
- Lead pricing and reserving analyses for key product lines using actuarial methods and modern models
- Develop and validate actuarial models in R, Python, and SQL environments
- Collaborate with product, finance, and underwriting teams to translate data into actionable strategies
- Perform scenario testing, stress testing, and risk analysis to quantify exposure
- Prepare client-ready reports and communicate complex results succinctly
- Mentor junior analysts and contribute to knowledge sharing and model governance
- Ensure compliance with actuarial standards and regulatory requirements
Qualification
- Master's degree in Actuarial Science, Mathematics, Statistics, or related field
- Progress toward or attainment of actuarial fellowship with SOA/CAS
- Strong proficiency in R and Python for modeling; SQL for data extraction
- Experience with actuarial software and data visualization tools (Prophet, SAS, Excel)
- Experience in pricing, reserving, and risk management within life or property casualty segments
- Excellent communication skills and ability to present complex results to nontechnical stakeholders
- Strong problem solving, attention to detail, and project management skills