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- Tasks: Lead life and health reinsurance analytics, driving growth through data insights.
- Company: Join a major global reinsurer known for innovation and excellence.
- Benefits: Enjoy competitive salary, remote work options, and professional development opportunities.
- Why this job: Be at the forefront of predictive analytics and emerging technologies like Generative AI.
- Qualifications: Degree, Master's or Ph.D. in a relevant field; expertise in data manipulation and predictive modelling required.
- Other info: This role offers significant visibility and influence within the firm.
The predicted salary is between 48000 - 72000 £ per year.
Are you an experienced data scientist with a Degree, Master's or Ph.D. in a relevant field? Do you possess detailed experience of data analytics within Life and Health reinsurance? Are you looking for your next senior position within a major global reinsurer? Then look no further! This is a significant and highly visible opportunity to take the lead within predictive analytics, driving our client's growth across all of its lines of business by utilizing data-model-driven insights to meet the key goals and vision of the firm.
Overall, you will be responsible for developing a data and analytics-driven culture within the firm, identifying potential solutions to support the protection line of business on new propositions across underwriting, claims and distribution. Continually keeping abreast with new technologies, you will also be instrumental in maintaining and enhancing knowledge of the impact of emerging Generative AI as well as data scientist practices, disseminating this within the team in order to continually improve and augment ways of working.
To be successful in the role, you will have deep expertise in data manipulation, statistical analysis, and predictive modelling using tools such as R, Python, SAS, or similar, in a life insurance environment. Experience with the following would be a bonus: Azure components; Databricks; graph analytics; GenAI; Large Language Models; and Knowledge Graphs.
An exceptional and highly influential role within a major firm.
Take the lead on life and health reinsurance analytics employer: Actuarial Futures
Contact Detail:
Actuarial Futures Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Take the lead on life and health reinsurance analytics
✨Tip Number 1
Network with professionals in the life and health reinsurance sector. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and leaders in the field. This can help you gain insights into the company culture and the specific skills they value.
✨Tip Number 2
Showcase your expertise in predictive analytics by discussing relevant projects during interviews or networking events. Be prepared to explain how you've used data-driven insights to influence business decisions, as this will demonstrate your capability to lead in this role.
✨Tip Number 3
Stay updated on emerging technologies like Generative AI and their applications in data science. Being knowledgeable about these trends will not only enhance your discussions but also show your commitment to continuous learning and innovation in the field.
✨Tip Number 4
Consider reaching out to current or former employees of the company through platforms like LinkedIn. Ask them about their experiences and any advice they might have for someone looking to step into a senior analytics role. This insider perspective can be invaluable.
We think you need these skills to ace Take the lead on life and health reinsurance analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data analytics specifically within Life and Health reinsurance. Emphasise your expertise in predictive modelling and any relevant tools like R, Python, or SAS.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role and how your background aligns with the company's goals. Mention your familiarity with emerging technologies like Generative AI and how you can contribute to the firm's growth.
Showcase Relevant Projects: Include specific examples of projects where you've successfully applied data manipulation and statistical analysis. Highlight any experience with Azure components, Databricks, or graph analytics to stand out.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial in a data-driven role.
How to prepare for a job interview at Actuarial Futures
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data manipulation, statistical analysis, and predictive modelling. Highlight specific projects where you've used tools like R, Python, or SAS, and be ready to explain your methodologies and outcomes.
✨Demonstrate Industry Knowledge
Familiarise yourself with the latest trends in life and health reinsurance analytics. Be ready to discuss how emerging technologies, such as Generative AI and Large Language Models, can impact the industry and how you can leverage them in your role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare examples of how you've identified solutions in previous roles, particularly in underwriting, claims, or distribution, and how those solutions drove business growth.
✨Communicate Your Vision
Articulate your vision for developing a data-driven culture within the firm. Discuss how you would implement changes and encourage team collaboration to enhance analytics practices and improve overall performance.
