Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Unterföhring
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop forecasting and stochastic models using Machine Learning, optimize processes, and create analysis tools while collaborating with cross-functional teams.
Job Technologies
Your role in the team
- Forecast modeling: Development of stochastic models (risk, cancellation, conversion models) and tariffs using cutting-edge data analysis methods, particularly machine learning and data mining.
- Product Development: Active participation in shaping strategic initiatives within agile, cross-functional teams with end-to-end responsibility.
- Process optimization: automation and enhancement of existing methods across the entire actuarial value chain - from data collection and analysis to risk modeling and up to tariff development and implementation.
- Analysis & Tool Development: Creation and enhancement of tools for actuarial analysis of quoted and completed contracts, as well as independent derivation of actionable recommendations.
- Stakeholder Management: Targeted communication with all relevant interfaces (business units, Data Office, Pricing, Operations, IT).
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Our expectations of you
Education
- Qualification: Excellent completed degree (Master's or equivalent) in Mathematics, Physics, Computer Science, Statistics, or a comparable field of study - a PhD is advantageous.
- Actuarial training: Having started training to become a DAV Actuary (m/f/d) or a member of an association recognized by the International Actuarial Association is advantageous - the training to become a DAV Actuary (m/f/d) is company-funded.
Qualifications
- Working style: Very good analytical and conceptual skills, structured work, high initiative and commitment, as well as independent work within a team.
- Language skills: Confident and persuasive communication in German and English.
Experience
- Professional experience: Interest in actuarial science and property insurance with initial practical experience, or alternatively prior knowledge in data modeling, machine learning, or data mining.
- Technical competence: In-depth knowledge of Python, PySpark, R, or SQL, as well as experience with current technology trends such as Generative AI and their applications in the insurance sector.
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What we offer
- Health & Well-being: An occupational health insurance, sports and health programs, as well as preventive measures, lay the foundation for physical and mental health.
- Remuneration: Collective bargaining bonuses, company pension schemes, asset-building benefits, and employee stock ownership plans make the compensation package particularly attractive. Additionally, employees are involved in the company's success.
- Time & Flexibility: With our "New Work" model, work and private life can be coordinated even better. We work flexibly, hybrid, mobile, and on-site.
- Career Development: We will collaboratively create a personal development plan and enable cross-functional and international experience gathering.
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Benefits
Higher Take-Home Pay
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Allianz SE
Allianz is a great place to work for people who want to take initiative and grow within the company. With a strong global presence, Allianz is always looking for ways to improve and stay ahead of the competition. The company truly cares about its 85 million customers and 142,000 employees. Allianz fosters a culture of collaboration and innovation, where employees are encouraged to perform to the best of their abilities and challenge the status quo. If you're looking for an exciting and supportive work environment, Allianz is the place for you.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Employer reviews
by devworkplaces.com
Total
(1 Review)Career Growth
3.6Workingconditions
4.0Culture
3.5Engineering
3.0
Junior Actuary / Data Scientist
- Location
- Unterföhring
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
