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- Aufgaben: Support actuaries in developing pricing models and analyzing data for health insurance.
- Arbeitgeber: Join Allianz Digital Health GmbH, a dynamic subsidiary of Allianz SE focused on innovative health solutions.
- Mitarbeitervorteile: Enjoy flexible hours, remote work options, and a start-up culture with great team support.
- Warum dieser Job: Gain hands-on experience in the health insurance industry and make a global impact.
- Gewünschte Qualifikationen: Must be enrolled in a relevant university program with knowledge of actuarial principles and programming.
- Andere Informationen: Work in a multicultural team in Munich with opportunities for personal and professional growth.
Allianz Digital Health GmbH (ADH) is a Munich, Germany based subsidiary of Allianz SE.
ADH has a dual mission: Developing cloud-based software applications for Health insurance and supporting Allianz units world-wide in optimising their Health insurance business along the value chain.
What does it take to develop outstanding software or to support Health insurance executives globally to achieve lasting success in their business?
It takes a lot. We look for people with dedication, knowledge, and curiosity. For people who want to learn and work in a truly exceptional team.
If you’re excited to gain hands-on experience tackling real-world challenges in the Health insurance industry and contribute to innovative solutions that make a tangible impact at Allianz units worldwide, ADH offers the perfect environment to learn and grow.
Tasks
- Support our experienced team of Health actuaries in developing and optimizing innovative pricing models.
- Analysing data, calculating cost trends, and determining risk factors.
- Contribute to pricing model calibrations and backtest our pricing algorithms.
- Collaborate with the team to assess and adapt tools for country-specific pricing requirements.
- Participate in consulting projects by preparing materials and supporting the rollout of pricing solutions to Allianz units worldwide. Play a role in shaping how Allianz approaches Health insurance pricing on a global scale.
Requirements
- Enrollment in a university program with a focus on mathematics, actuarial science, statistics or data science.
- Solid understanding of actuarial principles, such as risk assessment, tariff calculation or cost modelling.
- Foundational knowledge of key actuarial methods including (generalized) linear regression modelling.
- Practical experience in programming languages, ideally with R.
- Analytical mindset and a structured, problem-solving approach with attention to detail.
- Progress in actuarial exams (if applicable) or a demonstrated interest in pursuing an actuarial qualification.
- High degree of self-organization, the ability to work independently, and eagerness to learn from experienced actuaries.
- Fluency in English (written and spoken).
Benefits
- You will have business impact and see the results of your work in markets across the world.
- You enjoy Allianz Group benefits while at the same working in a start-up 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 multicultural, open-minded and fun team of highly motivated colleagues, who support each other and celebrate successes as a team.
Our Office is located in Munich-Riem (Willy-Brandt-Platz 3; Messestadt West U2).
We would love to have you in our team and look forward to your application!
Working Student: Actuary / Actuarial Data Scientist Arbeitgeber: Allianz Digital Health GmbH
Kontaktperson:
Allianz Digital Health GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Working Student: Actuary / Actuarial Data Scientist
✨Tip Number 1
Mach dich mit den aktuellen Trends und Herausforderungen in der Gesundheitsversicherung vertraut. Zeige in Gesprächen, dass du die Branche verstehst und bereit bist, innovative Lösungen zu entwickeln.
✨Tip Number 2
Nutze Networking-Möglichkeiten, um Kontakte zu Fachleuten im Bereich Aktuarwissenschaften und Datenanalyse zu knüpfen. Dies kann dir wertvolle Einblicke geben und deine Chancen erhöhen, von internen Empfehlungen zu profitieren.
✨Tip Number 3
Bereite dich darauf vor, über deine praktischen Erfahrungen mit Programmiersprachen wie R zu sprechen. Zeige konkrete Beispiele, wie du diese Fähigkeiten in Projekten angewendet hast, um deine Eignung für die Rolle zu unterstreichen.
✨Tip Number 4
Sei bereit, Fragen zu deiner analytischen Denkweise und deinem strukturierten Problemlösungsansatz zu beantworten. Überlege dir Beispiele aus der Vergangenheit, die deine Fähigkeiten in diesen Bereichen demonstrieren.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Working Student: Actuary / Actuarial Data Scientist
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Highlight your relevant skills and experiences that align with the tasks mentioned, such as data analysis and programming in R.
Tailor Your CV: Customize your CV to emphasize your academic background in mathematics, actuarial science, or data science. Include any relevant projects or coursework that demonstrate your understanding of actuarial principles and methods.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention specific reasons why you want to work at Allianz Digital Health GmbH and how your skills can contribute to their mission in health insurance.
Highlight Your Analytical Skills: In your application, provide examples of how you've applied analytical thinking and problem-solving in past experiences. This could include projects, internships, or coursework where you analyzed data or developed models.
Wie du dich auf ein Vorstellungsgespräch bei Allianz Digital Health GmbH vorbereitest
✨Understand Actuarial Principles
Make sure you have a solid grasp of actuarial principles like risk assessment and tariff calculation. Be prepared to discuss how these concepts apply to real-world scenarios in health insurance.
✨Showcase Your Analytical Skills
Highlight your analytical mindset and structured problem-solving approach. Bring examples of past projects or coursework where you've successfully analyzed data or developed models, especially using programming languages like R.
✨Demonstrate Eagerness to Learn
Express your enthusiasm for learning from experienced actuaries. Share any progress you've made in actuarial exams or your plans to pursue further qualifications, as this shows your commitment to the field.
✨Prepare for Team Collaboration
Since collaboration is key in this role, think of examples where you've worked effectively in a team. Be ready to discuss how you can contribute to the team dynamic and support the rollout of pricing solutions.
