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Actuary (f/m/d) at Allianz Digital Health job in München

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München Allianz

Job Ref:  11864
Employer:  Allianz
Sector:  P&C/General Insurance/Non-Life
Life Insurance
Health Insurance
Qualifications:  Part Qualified Actuary
Software:  R
Python
SQL
Job Type:  Full Time
Salary and Benefits:  Competitive
Remote:  No

Location

Country:  Germany
City:  München
Post Code:  Not specified
Map: 

Description

At Allianz Digital Health, our mission is to radically innovate the way we think about Health Insurance worldwide. We offer digital health services based on advanced data analytics and a modern IT architecture.We strive to redefine existing methodologies and pioneer completely new experiences, always with one goal in mind: To build a Health insurance that people love.ADH is an internal startup of Allianz SE allowing us to strike the balance of benefiting from the global reach and implementation power of the largest insurance company in the world while at the same time being independent enough to think outside the box.If you feel inspired by the idea to revolutionize Health insurance, then ADH is the right place for you.

As an Actuary (f/m/d) you will strengthen our team of actuaries with your experience in data-driven problem solving and actuarial mathematics. As an experienced actuary, you use your knowledge to develop and provide innovative, high-quality solutions for various companies and countries.

Key Responsibilities
  • With your know-how and expertise in the health insurance market, you analyze client and claims data, subjectivity effects, cost trends and medical risk factors.
  • You develop and optimize pricing prediction models for national and international health products.
  • You are able to evaluate and derive best fitting statistical models for an underlying data challenge including their implementation.
  • You discuss actuarial issues that go beyond existing solutions with management and project partners in order to develop and implement innovative approaches.
  • You work with actuaries from other Allianz companies across the globe on their product portfolios.
  • You support in global product development guidelines and product transition towards a unified product design approach across Allianz (Allianz Customer Model).


Key Requirements/Skills/Experience
  • You have successfully completed a university degree in (business) mathematics, statistics, physics, computer science or a comparable qualification.
  • You have completed or advanced training as an actuary (DAV) or another actuarial association recognized by the International Actuarial Association (IAA).
  • You have many years of relevant experience as an actuary, preferably in the field of health insurance, property insurance or reinsurance.
  • Sound user knowledge in data analysis, modeling and programming in R or Python, SQL is an advantage.
  • You already had responsibility for topics in cross-functional projects and have very good analytical and conceptual skills.
  • Confident communication skills (written and verbal) in German and English and the ability to interact effectively.


Benefits
  • You will have business impact and see the results of your projects live and in production in markets across the world
  • You enjoy Allianz Group benefits while at the same time working in a startup culture - with great flexibility in working style, freedom to shape your working environment, a super-flat hierarchy and fast decision-making processes
  • You can balance your work and other commitments with flexible working hours and the chance to regularly work from home
  • You work in a fun team of highly motivated colleagues who support each other and celebrate successes as a team
  • Last, but not least: You enjoy the best coffee in Munich in our artsy office in Munich-Riem (Messestadt-West) and spend your lunch break in our rooftop garden


Additional information:The Office is located in Munich-Riem (Willy-Brandt-Platz 3; Messestadt West U2).Are you interested?Please send us your application only via our online tool.If you have any questions, you are very welcome to contact us via email.Please be informed that unfortunately applications sent via email can't be considered.
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