Actuarial/Pricing Analyst Sr.

As an Actuarial/Pricing Analyst Sr. at Capgemini, your primary responsibilities will include performing indications, updating rating factors, validating premiums in collaboration with vendors, and preparing filings. You will also engage with in-house tools built using Python and Excel, so a solid understanding of these technologies is essential for your success in this role.

For the Actuarial/Pricing Analyst Sr. position at Capgemini, candidates should ideally possess a minimum of 3-5 years of experience in actuarial roles, with a preference for those having over 5 years. A Bachelor's Degree in Actuarial Science, Statistics, Mathematics, or Data Science is also required, along with advanced skills in Python, Excel, SQL, and familiarity with GitHub Desktop and Anaconda.

To thrive as an Actuarial/Pricing Analyst Sr. at Capgemini, you should have advanced skills in Python and Excel, a strong grasp of SQL, and experience using data analysis tools such as GitHub Desktop and Anaconda. Moreover, being analytical, detail-oriented, and proficient in data interpretation will significantly contribute to your effectiveness in this role.

When you join Capgemini as an Actuarial/Pricing Analyst Sr., you can expect a competitive salary, performance-based bonuses, comprehensive benefits, a flexible work model, and opportunities for professional development. Other perks include private health insurance and a pension plan, ensuring a well-rounded work experience.

Capgemini is committed to the growth of its employees, including Actuarial/Pricing Analysts. We offer extensive training and development opportunities, mentorship programs, and a dynamic work environment that encourages continuous learning and skill enhancement. This support helps you stay at the forefront of the evolving actuarial landscape.

In your response, highlight specific projects or scenarios where you've utilized Python for data analysis or modeling. Mention any frameworks or libraries you've worked with, such as Pandas or NumPy, and how they contributed to your actuarial tasks.

Discuss the importance of careful data validation, the use of automated tools, and your methodologies for checking calculations. Emphasize rigorous testing and peer reviews as integral to maintaining accuracy in your analyses.

Share the resources you utilize for staying informed, such as professional organizations, webinars, industry publications, and networking with peers. Explain how staying current allows you to adapt and enhance your actuarial practice.

Be prepared to provide specific examples of challenges you’ve encountered, such as tight deadlines or complex data sets. Explain your problem-solving process and the outcomes to demonstrate your resilience and adaptability.

Illustrate your impact on a project where your actuarial analysis contributed to a strategic business decision. Detail the steps you took, the tools you used, and the decision-making process to show your analytical influence.

Explain your organization system, whether you use project management tools or prioritization techniques to manage your workload. Highlight your ability to adapt and prioritize based on deadlines and project importance.

Discuss your collaborative experiences within actuarial teams. Highlight how teamwork enhances diverse perspectives, promotes innovation, and contributes to more robust analyses, emphasizing any leadership roles you've taken.

Provide your insights on the evolving landscape of actuarial science, particularly with technology advancements, data science integration, and regulatory changes. Emphasize the importance of adaptability and continuous learning in this context.

Discuss how you use SQL to manage, query, and analyze data sets for actuarial projects. Provide specific examples of how you’ve extracted insights from databases or automated reporting processes using SQL.

Share your enthusiasm for contributing to a leading organization like Capgemini, your passion for using data-driven insights to impact business strategies, and your eagerness to work with cutting-edge technology and a collaborative team.