Senior Actuarial Modeling Analyst

As a Senior Actuarial Modeling Analyst at Global Atlantic, you will develop and maintain actuarial models for retail annuity products, support assumption updates, and produce quarterly/monthly valuation results. You’ll also need to follow best practices in model validation and documentation while supporting audit activities and regulatory inquiries.

To be considered for the Senior Actuarial Modeling Analyst role at Global Atlantic, you should hold a Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or Finance. The ideal candidate will be an ASA or near ASA with over 2 years of experience in the life and annuity insurance industry, alongside strong analytical and technical skills.

Candidates for the Senior Actuarial Modeling Analyst role at Global Atlantic should be proficient in actuarial projection software, such as MG ALFA, and should ideally have knowledge of programming languages like Python or SQL. A strong understanding of financial reporting standards like US GAAP is also highly beneficial.

At Global Atlantic, you'll be part of a high-performing culture that values teamwork and integrity. The company emphasizes building long-term relationships while supporting a culture of total well-being and diversity, making it a great environment for personal and professional growth as a Senior Actuarial Modeling Analyst.

Global Atlantic typically requires employees to be in the office several days a week, particularly in the Boston office, but they may offer some flexibility. It's advised to inquire specifically about hybrid work arrangements during the interview process.

Discuss any specific projects or tools you've worked with, such as MG ALFA or Milliman Integrate. Highlight particular challenges you've faced and how you solved them, showing your applied knowledge and problem-solving abilities.

Detail your knowledge of SOX implications in actuary work, and provide examples of your experience in adhering to these policies. Mention the importance of documentation and change management in your previous roles.

Highlight your communication skills and provide examples of successful collaborations with cross-functional teams, illustrating how you ensure clarity and effectiveness when discussing complex actuarial concepts with non-specialists.

Detail your experience with specific actuarial software and programming languages like Python or SQL. Share how you've utilized these tools in previous projects to enhance modeling processes or data analysis.

Discuss a specific instance where you had to quickly shift your approach to a modeling project. Focus on your adaptability and problem-solving skills, illustrating how you managed the transition effectively.

Talk about a specific challenge you've faced, such as complex data analysis, and describe the strategies you used to overcome it. This demonstrates resilience and a proactive mindset to potential employers.

Detail the steps you follow when developing a new model, from initial design to testing and validation. Highlight your attention to detail and adherence to best practices throughout each phase.

Highlight continuous learning initiatives, such as participating in professional associations like the Society of Actuaries, attending conferences, or engaging in relevant online courses. Show your commitment to personal and professional growth.

Explain your approach to receiving constructive criticism, emphasizing your openness to feedback and how you view it as an opportunity for improvement and growth in your role as a Senior Actuarial Modeling Analyst.

Discuss your aspirations within the actuarial field and how the role at Global Atlantic aligns with achieving those goals. Speak to your desire for growth and learning opportunities that would be available.