Description:
Hannover Re – as a global reinsurer we assume risks from other insurers and work with them to develop innovative products. Some 3,500 experts worldwide from a range of specialist disciplines devote their know-how and passion for their profession to strengthening and expanding our excellent market position on a daily basis. By taking an assuredly different approach to their work, they make us one of the most profitable reinsurance groups in the world.
We are currently seeking applicants for an Actuarial Associate (ALL).
Your Tasks
- Acquire, aggregate, and develop data for use in experience studies through the use of data analytics tools.
- Maintain and run models for use in profit testing, reserving, calculation of economic capital, and forecasting
- Implementation and maintenance of Model Governance framework. Improving model-related processes for efficiency and accuracy.
- Provide preliminary analysis and evaluation of model sensitivity results. Validate, format and present results in an appropriate manner for senior actuary review.
- Perform coding changes to software that meet prescribed standards, assist in the regression and UAT testing of software coding changes, and complete documentation.
- Support of ad hoc projects.
- Demonstrate sufficient progress and maintain good standing in actuarial student program
Your Profile
- Bachelor's degree from an accredited college or university
- 1 - 5 years of Life insurance/reinsurance actuarial experience
- Minimum pass of 2 SOA exams
- Excellent data-manipulation skills
- Strong time management and project management skills
- Ability to execute on multiple priorities simultaneously
- Microsoft PC software: Excel, Word, Access, Outlook, VBA
- Minimum of two actuarial exams from the Society of Actuaries with the intent to be credentialed
- Excellent written and oral communications skills
- Risk Agility FM, MoSes, or other actuarial modelling software
- Expertise in data analytics programs, e.g. R, SQL, etc.
- Experience in coding, especially actuarial software