Data Scientist (Actuarial)

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams, and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow, and to shape a better future for our customers and the world around us.

Great to have you on board. Let's care for tomorrow.

About us:

The world around us is changing rapidly and so is the insurance industry. Now’s the right time to make a bold move and shape the future of insurance – this is Allianz Direct! As a pan-European online insurer of the Allianz Group, launched in 2019, Allianz Direct is on its mission to become the most customer-oriented and efficient insurer on the market. Allianz Direct is truly changing the face of insurance, in customer experience, and in technology, processes, people, and culture.

An international team of business experts and engineers who live and breathe an agile way of working, are seeking to improve and change the way you do insurance. Driven by customer obsession and love for data, Allianz Direct strives for delivering an exceptional experience with a personal touch.

So, what makes Allianz Direct so unique? We believe in the power of simplicity and convenience and by doing so we have managed to set new standards when it comes to online insurance.

Job Purpose:

In 2019 we embarked on a journey, to build the ‘future of insurance’. At Allianz Direct, our mission is very simple: we want to become the most customer-oriented and efficient insurer on the market. At Allianz Direct we see ourselves as a technology company with an insurance license. With love for data and customer obsession at the core of our culture, we want to deliver an experience that really makes our customers say: “WOW, that was great!”

You will be working within the Finance team supporting the Chief Actuary to develop the target actuarial data landscape, test and implement advanced data flows and machine-learning techniques for the purpose of optimizing the loss reserving process and forecast technical performance across the full insurance scope of AZ Direct, currently 5 different countries (Italy, Spain, Germany, Netherlands, and France).

Come and join this dynamic team, develop new techniques, processes and learn about the whole insurance value chain!

Key responsibilities:

• You have the objective of optimizing reserving & technical performance insights through fixing legacy data shortcomings and building actuarial datasets in a flexible and consistent approach.
• Ensuring the actuarial analysis remains credible with the highest level of data quality possible and enhanced collaboration with other data consumers (pricing, claims, data).
• Actively contribute to defining and refining the actuarial data landscape and tools, in the context of the AZ Direct company-wide data approach
• Stay abreast of uses of data in actuarial analysis, machine-learning techniques, AI applications and proactively test new approaches for discussion with the relevant corporate actuaries

Qualifications/Key skills:

• Academic degree in Computer Science, Statistics, Mathematics, Physics, Actuarial Science, or a related field.
• 2-3 years of relevant professional experience in the field of data science and ideally, a solid understanding of actuarial loss reserving
• Profound experience in data analysis with high fluency in SQL, Python and experience in Cloud Computing (e.g. Azure)
• Expertise in data visualization with Business Intelligence tools such as Tableau, SAP Analytics Cloud or Power BI.
• Fluent in English, additional languages are a plus
• Accounting knowledge is ideal
• Solid analytical skillset
• Ability to communicate complex quantitative analysis in a clear and precise manner to audiences from different departments and at different levels.
• Ability to work independently and efficiently
• High level of reliability
• Open-minded towards new techniques and data investigation within a growing organization
• Motivation and curiosity to dig deeper into problems
• International working experience is a plus

Additional informationWe offer: Career development programs, Workwell@Allianz, Flexible working arrangements Please submit your applications only via our online tool.