Actuarial Analyst

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Requirements:

• Minimum of 4 years of experience in actuarial analysis, data science, or pricing and underwriting, ideally in a startup.
• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Data Science, Finance, Accounting, or a related field.
• Proficiency in statistical modeling techniques, including regression analysis and hypothesis testing.
• Experience with tools such as Python, R, SQL, and data analysis tools like Looker and PowerBI.
• Strong analytical mindset and passion for data-driven decision-making.
• Familiarity with actuarial processes.
• Strong organizational and project management skills.
• Demonstrated ability to lead initiatives in a fast-paced environment.

Responsibilities:

• Analyze and interpret insurance risks, focusing on statistical relationships affecting risk outcomes.
• Develop and maintain statistical models to assess financial exposure and performance of insurance products.
• Collaborate with teams such as Product, Engineering, and Finance to enhance actuarial functions.
• Work with data analysts to align actuarial models with company goals in data and machine learning.
• Ensure actuarial work complies with regulations and industry standards.
• Coordinate with underwriting partners on data organization.
• Prepare and present analyses to senior management and stakeholders.