Munich Re

Actuarial Analyst

Munich Re  •  Dubai, AE (Onsite)  •  1 hour ago
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Job Description

Are you passionate about data, analytics and innovation? Do you want to help shape the future of actuarial pricing through the use of advanced analytics, automation and AI?

We are looking for an Actuarial Analyst to join our Life & Structured Reinsurance Pricing team in Dubai. This is an exciting opportunity to work on a broad range of life and structured reinsurance solutions across the Middle East and Africa while developing your actuarial expertise in a dynamic and collaborative environment.

As part of one of the world's leading reinsurance companies, you will contribute to pricing, portfolio analysis and business insights, while supporting initiatives that drive efficiency, innovation and digital transformation across the actuarial function.

Your Role

  • Support the pricing of individual life, group life and structured reinsurance opportunities across the Middle East and Africa.
  • Analyse data and provide actuarial insights to support underwriting and pricing decisions.
  • Develop and maintain pricing tools, actuarial models and portfolio monitoring solutions.
  • Conduct experience studies, portfolio reviews and performance analyses.
  • Support the development of automated solutions and AI-enabled tools to improve actuarial processes and decision-making.
  • Collaborate with underwriting, client management and regional actuarial teams on business opportunities and strategic initiatives.
  • Prepare technical analyses, presentations and reports for internal and external stakeholders.
  • Contribute to projects focused on innovation, digitalisation and continuous improvement.

Your Profile

  • University degree in Actuarial Science, Mathematics, Statistics, Data Science or a related quantitative discipline.
  • Progress towards a recognised actuarial qualification (SOA, IFoA or equivalent).
  • Relevant experience within insurance, reinsurance, actuarial consulting or a quantitative analytical role.
  • Strong analytical and problem-solving skills with attention to detail.
  • Proficiency in Microsoft Excel and an interest in programming languages such as Python, R or SQL.
  • Knowledge of data analytics, automation tools and AI technologies would be an advantage.
  • Excellent communication and interpersonal skills.
  • Self-motivated, curious and eager to learn.
  • Ability to work effectively both independently and as part of a multicultural team.
Munich Re

About Munich Re

Munich Re is one of the world’s leading providers of reinsurance, primary insurance and insurance-related risk solutions. The group consists of the reinsurance and ERGO business segments, as well as the capital investment company MEAG. We are globally active and operate in all lines of the insurance business.

Since our founding in 1880, we’ve been known for our unrivaled risk-related expertise and sound financial position. We offer customers financial protection when faced with exceptional levels of damage – from the 1906 San Francisco earthquake to the 2017 Atlantic hurricane season. We possess outstanding innovative strength, which enables us to also provide coverage for extraordinary risks such as rocket launches, renewable energies, cyber attacks, or pandemics.

We’re also playing a key role in driving forward the digital transformation of the insurance industry, and in doing so have further expanded our ability to assess risks and the range of services that we offer. Our tailor-made solutions and close proximity to our customers make Munich Re one of the world’s most sought-after risk partners for businesses, institutions, and private individuals.

Working at Munich Re is more than a career. It’s an invitation to tackle some of the world’s most pressing challenges. Together with our team, consisting of specialists from more than 80+ fields of expertise, we turn risks into exciting opportunities that move humanity forward. https://www.munichre.com/en/career

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Münchener Rückversicherungs-Gesellschaft

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Industry
Finance & Insurance
Company Size
10,000+ employees
Headquarters
Munich, DE
Year Founded
Unknown
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