Research Actuary Intern

Part of the Knowledge team, the Biometric Risk Modelling chapter focuses on biometric risks. Chapter core members goals are to contribute to key projects, train, share knowledge and know-how with chapter members, promote knowledge both internally and externally, and finally, develop knowledge via high level internships and academic partnerships.

The Biometric Risk Modelling core members analyse biometric risks with the objective of improving the expertise of teams on this topic and of participating in the growth and profitability of the SCOR group. It provides technical assistance and support to the operating entities of SCOR Global Life, as well as to the Management, regarding risk analysis and pricing at a Group-wide level.

With this in mind, the team analyses general statistical or insurance data and develops the scientific methods and tools necessary to estimate these risks. To improve its techniques and estimates, it works in partnership with high-level university researchers. The results of its work are made available to the Biometric Risk Modelling community.

More generally, you’ll contribute to animating the community by sharing knowledge on biometric risk related topics.

Despite SCOR covers a large variety Biometric Risk you’ll have a strong focus on Critical Illness risk as it is the principal risk covered in Asia.

The Research Intern will have the opportunity to work with experienced actuaries at SCOR Global Life and will be responsible for
- Parametric and non-parametric modelling of morbidity assumptions
- Adapting or developing models based on available tools for mortality and morbidity estimation
- Interpretation and analysis of available claims experience and population data and fitting the tools to these data
- Assisting on best estimate validation of critical illness insurance products

These opportunities will provide you with a very good start for the development of your analytic skillsets and into the actuarial modelling of best estimate assumptions for biometric products. It will also provide insights into thinking, strategy and collaboration in a multinational corporations like SCOR.

**Experience**:

- Previous work experience or internship in a similar environment is not required but will be advantageous;
- Strong mathematical and analytic skills;
- Hands-on experience in statistical analysis and programming;
- Previously worked on similar analytical university/work projects;
- Excellent speaking and written skills in English.

**Personal Competencies**:

- Motivated and optimistic;
- Creative and dynamic;
- Strong interpersonal skills;
- Proactive and autonomous;
- Result oriented;
**Digital Competencies**:

- Microsoft office suite;
- Experience with statistical and data analytical tools like Python and/or R;

SCOR, the 4th largest reinsurer in the world, provides insurance companies with a diversified and innovative range of solutions and services to control and manage risk. Leveraging experience and expertise to deliver “The Art & Science of Risk”, SCOR provides cutting-edge financial solutions, analytics tools and services in all areas related to risk - from Life & Health and Property & Casualty insurance to Investments. Our specialized teams operate in over 160 countries, fostering long-term relationships with clients.

In order to provide our clients with a broad range of innovative reinsurance solutions, SCOR pursues an underwriting policy that is founded on profitability and supported by effective risk management strategy and a prudent investment policy. This approach allows us to offer clients an optimum level of security, to create value for shareholders, and to contribute to the welfare and resilience of society by helping to protect insureds against the risks they face.

At SCOR, we believe that employing people from different backgrounds and ensuring inclusivity is a major driving force for the success of the Group. We are committed to fostering a work environment in which all employees are treated fairly and respectfully, have equal access to opportunities and resources, and can contribute fully to SCOR’s success.