Reserving & Modeling Actuarial Analyst

MSIG North American

Full-time - Entry Level

About the position

The Reserving and Modeling Actuarial Analyst at MSIG North America plays a crucial role in supporting the reserving capital modeling strategies for insurance and reinsurance products. This position involves collaboration with reserving and pricing actuaries, as well as data scientists, to analyze data, conduct reserving reviews, and assess reserve variability. The role offers hands-on experience in a vital actuarial function, contributing to the organization's growth and success.

Responsibilities

• Collaborate with reserving actuaries to develop and enhance risk capital and reserving models.
• Assist in the implementation and testing of new reserving and capital modeling tools and techniques.
• Support, analyze, and evaluate various lines of business to project loss ratios for future business.
• Participate in actuarial analyses, including rate level indications and trend analyses.
• Support the development of financial projections and review rate monitoring analyses for insurance products.
• Work closely with underwriters, actuaries, claims specialists, and data scientists.
• Prepare and manipulate large datasets using statistical software and programming languages.
• Document reserve assumptions, methodologies, and models.
• Prepare reports and presentations summarizing reserving analyses and findings.

Requirements

• Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field.
• Proficiency in statistical software and programming languages such as R, Python, C++, or SAS.
• Pursuit of a professional designation (such as ACAS, FCAS or equivalent).
• A minimum of three actuarial examinations leading to an FCAS.
• Two years of actuarial experience, preferably in property and casualty commercial insurance or reinsurance.
• Strong mathematical and analytical skills with attention to detail.
• Basic knowledge of statistical modeling.
• Excellent problem-solving abilities and the ability to work with complex datasets.
• Strong written and verbal communication skills.
• Ability to work collaboratively in a team environment.

Nice-to-haves

• Highly motivated, proactive, and eager to learn and grow in the actuarial field.