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R&D Actuarial Analyst

In this role, you will be a member of the Applied R&D team in the US L&H Market. Your responsibilities will include performing enhancing analytic infrastructure, advanced analytics and maintaining and creating experience monitoring dashboards to support assumption development for pricing and reserving work.Our Actuarial Development Program is designed to provide students with work assignments and projects that are challenging, educational and promote personal and professional development.About the Job (Responsibilities)• Review population and reinsurance data and maintain key monitoring dashboard reports• Maintain and evolve the R&D analytical infrastructure and toolbox, improve process efficiency, and apply automations• Pioneer the exploration and integration of new technologies, tools, models, and methodologies• Design analytical review processes, select appropriate data assumptions and methods, and follow established guidelines and best practices for internal and external data management processes, including appropriate documentation to support business controls• Analyze data, validate results, identify unusual trends, seek explanations, derive recommendations, and account for any shortfalls in analysis when drawing conclusions.• Review and maintain documentation of data and analytics processes, including assumptions and methodology• Project management of studies with multiple touchpoints• Drive efficiencies and improvements with respect to speed, accuracy, and completeness of study resultsAbout You• Minimum 4-year degree in mathematics, statistics, actuarial science or related field with proven mathematical skills and analytical ability• At least 3+ years of actuarial pricing and/or data science experience in Life Insurance and/or Reinsurance industries with a good knowledge of actuarial concepts and principles• Associate of the Society of Actuaries, or equivalent status in Canada or UK societies. Strong candidates close to obtaining ASA will also be considered• Familiarity with the US market, products, and features• Programming/software skills such as SQL, Python, R and DAX• Experience with business intelligence software such as Power BI, Tableau, or similar tools is an asset but not required• Shows initiative in identifying data or actuarial related issues and supporting other team members, peers and senior stakeholders• Demonstrates strong oral and written English communication skills along with strong interpersonal and analytical skills• Ability to work independently, accurately and deliver to deadlinesAbout Swiss ReSwiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.Swiss Re is an equal opportunity employer. It is our practice to recruit, hire and promote without regard to race, religion, color, national origin, sex, disability, age, pregnancy, sexual orientations, marital status, military status, or any other characteristic protected by law. Decisions on employment are solely based on an individual's qualifications for the position being filled.During the recruitment process, reasonable accommodations for disabilities are available upon request. If contacted for an interview, please inform the Recruiter/HR Professional of the accommodation needed.Keywords: Actuary, L&H, R&DReference Code: 132161

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What You Should Know About R&D Actuarial Analyst, Swiss Re

Are you ready to dive into the fascinating world of data and risk management? As an R&D Actuarial Analyst at Swiss Re in Fort Wayne, IN, you’ll play a pivotal role within the Applied R&D team in the US L&H Market. This isn't just about crunching numbers; it's about enhancing analytic infrastructure and performing advanced analytics that truly fuel our pricing and reserving strategies. You’ll have the chance to maintain and create experience monitoring dashboards that support our assumption development, ensuring you contribute significantly to our projects. In this fast-paced environment, we value innovative thinking, and you’ll be at the forefront, exploring new technologies and methodologies that advance our processes. We're looking for someone passionate about data validation, trend analysis, and project management. You'll need a solid academic background, ideally holding a four-year degree in mathematics or statistics, and have at least three years’ experience in actuarial pricing or data science. If you have a thirst for knowledge and enjoy collaborating with a diverse team of experts, Swiss Re offers a nurturing environment where you can thrive and help shape the future of risk management. Join us, share your insights, and let’s make the world more resilient together!

Frequently Asked Questions (FAQs) for R&D Actuarial Analyst Role at Swiss Re
What are the responsibilities of an R&D Actuarial Analyst at Swiss Re?

As an R&D Actuarial Analyst at Swiss Re, you'll be involved in enhancing analytic infrastructure, advanced analytics, and maintaining experience monitoring dashboards crucial for pricing and reserving work. Your responsibilities include reviewing population and reinsurance data, evolving analytical tools, and spearheading the exploration of new technologies and methodologies to improve overall process efficiency.

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What qualifications are required for the R&D Actuarial Analyst position at Swiss Re?

To qualify for the R&D Actuarial Analyst position at Swiss Re, you need a minimum of a four-year degree in mathematics, statistics, actuarial science, or a related field. Additionally, you should possess at least three years of experience in actuarial pricing and/or data science, ideally within the Life Insurance or Reinsurance industries.

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What skills are important for success as an R&D Actuarial Analyst at Swiss Re?

Success as an R&D Actuarial Analyst at Swiss Re requires a blend of strong analytical skills, programming capabilities in SQL, Python, R, and a familiarity with data visualization tools such as Power BI or Tableau. Additionally, strong communication skills and the ability to work independently and efficiently are vital for thriving in this role.

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How does Swiss Re support professional development for R&D Actuarial Analysts?

Swiss Re has an Actuarial Development Program designed to provide R&D Actuarial Analysts with challenging work assignments and educational projects. This program emphasizes personal and professional development, empowering you to continually enhance your skills and advance your career.

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What is the work culture like for R&D Actuarial Analysts at Swiss Re?

At Swiss Re, we emphasize an inclusive culture that encourages innovative thinking and embraces diversity. R&D Actuarial Analysts can expect to work in a supportive environment where everyone has equal opportunities to contribute, thrive, and bring their authentic selves to work.

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Common Interview Questions for R&D Actuarial Analyst
Can you explain your experience with data validation in actuarial analysis?

When answering this question, focus on specific instances where you have successfully validated data for actuarial purposes. Mention the tools you used and how you ensured the accuracy and reliability of your analysis. Talk about any challenges you faced and how you navigated them to derive precise insights.

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How do you approach the exploration of new technologies in your work?

Describe a time you researched or implemented a new technology or methodology. Emphasize how you assessed its potential benefits, integrated it into your processes, and the positive outcomes it produced. This shows your adaptability and commitment to continuous improvement.

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What methodologies do you use for assumption development in pricing?

Share your methodology for developing assumptions, focusing on any frameworks or best practices you follow. Discuss how you leverage data insights and analyze trends to form assumptions, and give an example that illustrates the effectiveness of your approach.

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How do you prioritize multiple projects with overlapping deadlines?

Explain your project management skills and how you prioritize tasks based on urgency, importance, and available resources. Providing a specific example of a time when you successfully managed conflicting priorities can exemplify your organizational skills.

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Describe your experience with programming tools like SQL or Python.

Discuss your proficiency with programming languages relevant to your experience, including specific projects where you utilized SQL or Python to analyze data or automate processes. Providing quantifiable results can strengthen your response.

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How do you ensure the accuracy of your analytical models?

Outline the steps you take to validate your models, such as back-testing against historical data, peer reviews, or sensitivity analyses. Mention any specific tools or software that assist you in this process, underscoring your attention to detail.

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What role do you believe teamwork plays in actuarial projects?

Teamwork is crucial in actuarial projects due to the multifaceted nature of the work. Highlight your ability to collaborate effectively with diverse teams, share knowledge, and seek input from others to enhance project outcomes.

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Can you provide an example of how you improved a process in your previous role?

In your answer, detail a specific process you enhanced, the steps you took to implement changes, and the measurable results that followed. This demonstrates your problem-solving skills and commitment to efficiency.

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How do you keep up with changes in actuarial science and the insurance market?

Discuss your strategies for staying informed about industry developments, such as attending conferences, participating in professional organizations, or following relevant publications. Highlight your eagerness to learn and adapt to new challenges.

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What do you find most challenging about working in actuarial science?

Reflect upon common challenges, such as data discrepancies or evolving regulations. Share how you've dealt with such challenges constructively in the past and what you learned from those experiences.

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Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and ...

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Full-time, on-site
DATE POSTED
December 5, 2024

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