Research Actuary Intern

**Department**

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.

**Internship description**

This internship in the Biometric Risk Modelling chapter of SCOR Global Life will give you the opportunity to be involved in actuarial duties with a strong focus on tools for deriving actuarial asumptions and projections of the underlying morbidity (e.g. cancer morbidity) for life and health insurance products.

As the scope of the team is world-wide, you will be working on many different countries with a strong focus on Asia Pacific.

**Key duties and responsibilities**

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 calibrating analytical models to these data
- Developing cloud-based tools for automating analysis process

These opportunities will provide you with a very good start for the development of your analytic skillsets and into the actuarial modelling and data analysis for life and health insurance 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 preferred;
- 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;

Working at SCOR means engaging with some of the best minds in the industry - actuaries, data scientists, underwriters, risk modelers, engineers, and many others - as we work together to find solutions to pressing challenges facing societies.

As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.

SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.