Actuarial Data Scientist

vor 4 Wochen

Munich, Deutschland MAM Gruppe Vollzeit

Our client is globally recognized as a top insurance and asset management firm. They prioritise their employees' well-being, aspirations, and growth, fostering an environment where everyone can contribute to shaping a better future for our customers and the world. Diversity and inclusivity are core values, so we are keen for individuals from all backgrounds, orientations, and beliefs to apply.

The organisation you will be working for are revolutionising the insurance industry, with a dedication to customer-centricity and efficiency, redefining insurance through technology, processes, and culture.




The position:


In 2019, our client embarked on a mission to shape the the insurance industry, and aim to become the most customer-focused and efficient insurer in the market. As a technology focused company, they seek data-driven solutions and customer satisfaction to deliver exceptional experiences.


  • You'll join the Finance team, supporting the Chief Actuary in developing the target actuarial data landscape.
  • Your role involves testing and implementing advanced data flows and machine-learning techniques and forecast technical performance across international operations.
  • Optimize reserving & technical performance insights by addressing legacy data shortcomings and establishing actuarial datasets using a flexible and consistent approach.
  • Ensure the credibility and highest level of data quality in actuarial analysis, fostering collaboration with other data consumers (pricing, claims, data).
  • Contribute actively to defining and refining the actuarial data landscape and tools in line with company strategy
  • Stay updated on data usage in actuarial analysis, machine-learning techniques, and AI applications, proactively testing new approaches for discussion with corporate actuaries.



Qualifications/Key Skills:


  • Accredited degree in Computer Science, Statistics, Mathematics, Physics, Actuarial Science, or related field.
  • Relevant professional experience in data science, with solid understanding of actuarial loss reserving.
  • Proficient in data analysis, with strong skills in SQL, Python, and experience in Cloud Computing (e.g., Azure).
  • Expertise in data visualization using Business Intelligence tools such as Tableau, SAP Analytics Cloud, or Power BI.
  • Fluent in English and German (C1/C2), additional languages are advantageous.
  • Strong analytical skills, with the ability to communicate complex quantitative analysis clearly to diverse audiences.
  • Capable of working independently and efficiently, with a high level of reliability.
  • Open-minded towards adopting new techniques and exploring data within a growing organization.
  • Motivated and curious to delve deeper into problem-solving.



This role is based in Munich and will be a full-time position. Total salary package is €95,000 per year. German and English fluency is a requirement, candidates without this will not be considered.

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