Catastrophe Risk Analyst

The role-holder supports our reinsurance business sourced from the APAC region. The role covers all aspects of treaty pricing, tool development, acquisition of market knowledge, development of benchmark analysis, and natural catastrophe-related initiatives. Job dimensions include both technical and client facing opportunities to work closely with internal and external stakeholders, such as underwriters, pricing actuaries, risk managers, brokers, clients, and model vendors.

**Key duties and responsibilities**
- Delivering natural catastrophe analytics and treaty pricings of reinsurance transactions and internal retrocessions to business stakeholders, using vendor models and internally developed tools
- Responsibility for the accumulation control of allocated APAC markets
- Development of studies to improve pricing and modelling parameters and to evaluate the profitability of various segments of business
- Support of the development of actuarial tools and methods, including data analytics
- Appropriate utilisation of pricing and evaluation tools
- Contribution to growth and profitability
- Reporting of pricing and expected profitability for the Underwriting department
- Active participation in APAC market initiatives
- Close collaboration with the underwriting team, including attending and travelling to client and broker meetings
- Pricing, data analytics, and product development services for our clients
- Interaction with Reserving to assure that the output of the pricing process is reflected initially in Reserving and included in the management reports
- Internal trainings for junior staff and new joiners of other departments
- All other miscellaneous responsibilities as required by management

**Experience**:

- 2-5 years of natural catastrophe and/or treaty experience, preferably with exposure in the regional office of an international reinsurance company
- Experience with APAC property business
- Experience in using AIR and/or RMS modelling software is required
- Good communication skills and experience working with underwriters and clients
- Practical work/programming experience in MS Excel, VBA, R, Python, etc.
- Proficiency in data mining and machine learning programming using one or various software such as R, Python will be a plus

**Personal Competences**:

- Strong pragmatic problem solving capabilities
- Good team spirit, inter-personal competency

**Required Education**
- University degree in a technical discipline that requires strong analytical and statistical know how (Geology, Meteorology, Engineering, Mathematics,)
- Willingness to pursue fellowship or equivalent in an internationally recognized actuarial association (CAS, FIA,) is a plus

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.