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Senior Actuary(m/w/x)
P&C premium and reserve risk calculation with stochastic models, IFRS17 and Solvency II claims reserve determination. Master’s degree in mathematics or statistics required. Flexible mobile working within Austria.
Requirements
- Master’s degree in mathematics, statistics or comparable
- Practical experience in P&C risk modeling
- Ideally knowledge of insurance result drivers
- Distinct IT user knowledge
- Ideally experience in actuarial modelling
- Willingness to learn and growth mindset
- Engagement and teamwork skills
- Analytical thinking and problem solving competence
- Entrepreneurship
- Interest in New Technology
- Ability to communicate and present results
Tasks
- Calculate P&C premium and reserve risk using stochastic models
- Determine P&C claims reserves under IFRS17 and Solvency II
- Monitor claims development and portfolio profitability
- Prepare management information for strategic business steering
- Forecast claims trends to support the planning process
- Align with portfolio and claims experts on future measures
- Execute autonomous actuarial analyses on products and tariffs
- Develop new reserving methods and reporting tools
- Collaborate on cross-functional projects within the group
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- MS-Office
- DWH
Benefits
Other Benefits
- Successful collaboration in global insurance
- Cooperation with CE-region colleagues
Informal Culture
- Great Place to Work® environment
- "You" culture
Flexible Working
- Flexible mobile working within Austria
Modern Office
- Top modern office
Learning & Development
- Excellent training and e-learning
Additional Allowances
- Meal allowance
Corporate Discounts
- Discounted insurance conditions
Competitive Pay
- Employee share program
Social Impact
- Corporate volunteering
Healthcare & Fitness
- Diverse sports and health offers
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Senior Actuary(m/w/x)
P&C premium and reserve risk calculation with stochastic models, IFRS17 and Solvency II claims reserve determination. Master’s degree in mathematics or statistics required. Flexible mobile working within Austria.
Requirements
- Master’s degree in mathematics, statistics or comparable
- Practical experience in P&C risk modeling
- Ideally knowledge of insurance result drivers
- Distinct IT user knowledge
- Ideally experience in actuarial modelling
- Willingness to learn and growth mindset
- Engagement and teamwork skills
- Analytical thinking and problem solving competence
- Entrepreneurship
- Interest in New Technology
- Ability to communicate and present results
Tasks
- Calculate P&C premium and reserve risk using stochastic models
- Determine P&C claims reserves under IFRS17 and Solvency II
- Monitor claims development and portfolio profitability
- Prepare management information for strategic business steering
- Forecast claims trends to support the planning process
- Align with portfolio and claims experts on future measures
- Execute autonomous actuarial analyses on products and tariffs
- Develop new reserving methods and reporting tools
- Collaborate on cross-functional projects within the group
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- MS-Office
- DWH
Benefits
Other Benefits
- Successful collaboration in global insurance
- Cooperation with CE-region colleagues
Informal Culture
- Great Place to Work® environment
- "You" culture
Flexible Working
- Flexible mobile working within Austria
Modern Office
- Top modern office
Learning & Development
- Excellent training and e-learning
Additional Allowances
- Meal allowance
Corporate Discounts
- Discounted insurance conditions
Competitive Pay
- Employee share program
Social Impact
- Corporate volunteering
Healthcare & Fitness
- Diverse sports and health offers
About the Company
Allianz Group
Industry
FinancialServices
Description
The company is one of the most trusted insurance and asset management companies in the world.
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