Actuarial Analyst

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Requirements:

• Minimum of 4 years of experience in actuarial analysis, data science, or pricing and underwriting, preferably in a startup.
• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Data Science, Finance, Accounting, or a related field.
• Proficiency in statistical modeling techniques such as regression analysis and hypothesis testing.
• Experience with Python, R, SQL, and data modeling/analysis tools like Looker and PowerBI.
• Strong analytical mindset and passion for data-driven decisions.
• Familiarity with actuarial processes including pricing, reserving, and risk assessment.
• Strong organizational and project management skills.
• Ability to build processes in a startup environment.

Responsibilities:

• Analyze and interpret insurance risks with a focus on statistical relationships affecting risk outcomes.
• Develop and maintain statistical models to analyze financial exposure and performance of insurance products.
• Collaborate cross-functionally with Product, Engineering, and Finance teams.
• Work with data analysts to ensure alignment of actuarial models with company goals.
• Ensure compliance with insurance regulations and adapt to insurtech landscape changes.
• Coordinate with underwriting partners regarding data organization.
• Prepare and present reports to senior management and stakeholders.