Senior Analyst, Actuarial Data Management

As a Senior Analyst in Actuarial Data Management at Global Atlantic, your primary responsibilities will include defining and managing the data required for various actuarial models, coordinating with IT to ensure correct data is captured in our Enterprise Data Hub, and updating data flows to integrate with our actuarial processes. You'll also be involved in data validation, model governance, and enhancing the efficiency of the actuarial data reconciliation process.

To qualify for the Senior Analyst role in Actuarial Data Management at Global Atlantic, a bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, or a related field is required. Additionally, having 3+ years of relevant experience in the life and annuity insurance industry, and progress toward an ASA designation or FSA is preferred. Strong analytical and communication skills, along with experience in relational databases and programming languages such as Python or SQL, will set you apart.

In the Senior Analyst position at Global Atlantic, you'll collaborate closely with experienced actuaries across multiple functions—modeling, risk, valuation, and pricing. You will also work with IT and Data professionals to ensure data quality and streamline data processes. This cross-functional teamwork encourages innovation and efficient solutions for actuarial data management.

Global Atlantic fosters a high-performance culture that values integrity, teamwork, and innovation. As a Senior Analyst, you'll thrive in an environment that emphasizes building long-term relationships and supports personal and professional growth. Employees enjoy strong benefits, work-life balance, and a commitment to diversity and inclusion, making it a great place to advance your career.

Global Atlantic provides various professional development opportunities for Senior Analysts, including mentorship programs, training in technical skills, and forums for innovative collaboration. The company promotes a culture of continuous learning and encourages employees to pursue certifications like ASA or FSA, providing an excellent pathway for career advancement.

In your response, highlight specific experiences where you managed or analyzed actuarial data. Be sure to include how your contributions improved data accuracy or streamlined processes. Providing concrete examples will demonstrate your proficiency in this area.

Discuss the steps you would take to identify, investigate, and resolve discrepancies. Emphasize your analytical skills and attention to detail, along with how you would communicate findings to relevant stakeholders. Showing a structured problem-solving approach is key here.

Mention the specific tools or software you have experience with, such as MG ALFA or relational database management systems. Additionally, discuss any programming languages you know, like Python or SQL, and how they aided your work in actuarial data handling.

Explain the methods you use to maintain high standards of data quality, such as consistent validation checks, reconciliation processes, and documentation practices. Illustrating a proactive approach to ensuring data integrity will highlight your responsibilities in this senior role.

Discuss your admiration for Global Atlantic's focus on integrity, teamwork, and commitment to long-term client relationships. Highlight how your values align with the company culture and how you're excited to contribute to the actuarial data management processes.

Provide a specific example of a challenging project, outlining the obstacles you faced. Focus on the strategies you employed to address those challenges, showcasing your resilience, creativity, and analytical skills.

Share your strategies for staying informed, such as attending industry conferences, participating in webinars, or being part of professional organizations. Your commitment to continuous learning reflects your long-term career ambition.

Discuss the increasing role of technology in optimizing data management, including automation, data analytics, and how these technologies can facilitate better decision-making and efficiency within the actuarial processes.

Describe your organizational skills and techniques for prioritizing tasks effectively. Mention methods such as using project management tools or regular check-ins with team members to ensure you stay on top of responsibilities and deadlines.

Discuss how you value collaboration, communication, and diverse perspectives in a team setting. Emphasize your adaptability and willingness to share knowledge and support teammates to achieve common goals.