Actuarial Analyst

Preferred location

Václavské náměstí 832/19, 110 00 Praha

Type of vacancy

Full-time job

Valid till

FINISHED

Field of interest
Mathematics Others

Job Description

Life is full of risks, from unexpected hurricanes to earthquakes, terrorism to cybercrime, always ending up with financial impacts. They can't be controlled but can be managed. Join Aon to help our clients manage these risks in the world of reinsurance - a very innovate and very international industry, highly developed in global financial centres such as Zurich, London, Bermuda, Chicago.

We are searching for Actuaries for our actuarial hub for CEE (Central and Eastern Europe) and MENA (Middle East North Africa) based in Prague (Czech Republic) office.

Why you should be interested? In short way we can offer 2 activities that are not so common for actuaries - stochastic modelling and very diverse work.

  • Diverse work - We are helping insurers in their risk transfer of their business lines and doing things that often insurers are not able to do by themselves. We work for many different clients in CEE and Middle East, where every client has different portfolio, different problems and therefore our work is very diverse and there are many opportunities to learn and further develop.
  • Stochastic modelling - We are advising insurers on their risks and we need to see what is happening on extreme events and be able to use risk measures like Value at Risk. Aon developed one of the most used Stochastic modelling tool for Non-Life called Remetrica and all actuaries have access to it. So, you will make stochastic modelling after a few months in the office and quite often.

The nature of the work is project-oriented, client-focused and targeted at creative problem solving. You will be exposed to a wide range of insurance and reinsurance products, both traditional and non-traditional

In more words the role will include:

  • Work with colleagues (brokers, analytics and others) to identify and respond to client needs and develop additional opportunities related to products and services
  • You will perform technical analysis and get an innovative insight into insurance companies, their portfolios and reinsurance contracts
  • Inventory and manage client as well as industry data with aim to further develop market studies (motor insurance, inflation development, etc.) and develop our internal tools
  • Analyse the costs and benefits of risk transferred under reinsurance agreements via pricing analysis and dynamic risk modelling (mainly using collective risk model, various distribution fitting techniques for frequencies and severities)
  • Assist in preparing client-ready presentations to communicate analysis results to brokers and clients

Requirements

To apply for this offer, you should have:

  • University degree in Finance and Insurance mathematics (actuarial sciences)
  • Proficient knowledge of English
  • Proactive and result oriented working style
  • Ability to identify and resolve problems, think creatively, strategically, and analytically
  • Being able to learn quickly and find new solutions
  • Team player mentality, while building up constructive and effective working relationships
  • Good computer skills (MS Office) are required, programming skills (R, VBA, Python, etc.) are an advantage
  • Knowledge of Solvency II and IFRS 17 is an advantage

More information

What we offer:

  • Exciting and varied role in the very international reinsurance industry
  • Training to our sophisticated methods, including Remetrica, our stochastic modelling tool
  • Opportunity to work for the market leader in the world
  • Competitive salary and attractive benefits package including pension scheme contributions, language courses, high quality working conditions in our modern offices in the city center
  • Possibility of flexible working

If interested, please send us your CV with motivational letter. Thank you and looking forward to your application.

Address

Václavské náměstí 19
Praha 1
11000

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Offer uploaded 22. 02. 2023, valid until 31. 03. 2023

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