NatCat Modeller

The role involves

• Executing standard operational modelling tasks

• Contributing to the development of modelling methods and tools

• Participating in P&M projects and studies

Support the Cat Modelling with ensuring smooth operations, by ensure pricing and accumulation are timely, accurate and compliant with guidelines and with the catastrophe risk management of SCOR's portfolio.

Executing Standard Operational Cat Modelling Tasks, under the supervision and guidance of senior staff (which can be located either in nearshore or onshore offices), the individual in this role will:

• Provide treaty reinsurance catastrophe modelling support to onshore cat pricers. Analyze cedant exposure/modelled results received from clients/brokers and import into vendor risk modelling environment for in-house modelling.

• Assist in delivering catastrophe risk pricing of treaty reinsurance using those vendor models, experience and/or internally developed tools as per SCOR process and guidelines.

• Support the monitoring of utilized capacity using specific tools.

• Communicate and collaborate adequately within the nearshore team and with the onshore teams to ensure smooth renewal process following pricing/modelling guidelines

• Support MGA quarterly dashboards monitoring /studies 

• Support SBS Cat modelling

• Training of interns

P&M activities, processes and methods improvement: participate in the evaluation and enhancement of the P&M processes, workflows, methods, tools (xAct, vendor models, new tools, ...), identifying opportunities for automation, standardisation and streamlining to gain efficiency.

Help expand SCOR's Analytical Capabilities:

• Tools: develop code, support testing and maintenance, and collaborate with IT.

• Data Analysis:  extract insights from data to support decision-making within pricing / modelling teams, underwriting functions and management.

• Dataflows:  Maintain and streamline dataflows in Pricing & Modelling, P&C, and Group databases (PANEL, ARC Sandbox, Foundry)

Project / Research & Dev:

• Support onshore teams with various Nat Cat projects as needed including collaborating on projects to address specific queries regarding hazard, vulnerability and model behaviour. 

• Learn to understand and analyze vendor models.

• Participate in research to better understand natural perils

Lead of small projects

Required experience & competencies

• Some work experience in the financial services industry, preferably in reinsurance with a focus on analytical and/or actuarial work, for instance the development and structuring of reinsurance products, financial instruments, and pricing tools

• Sound knowledge of Microsoft Office (Proficiency in Excel). SQL. GIS. Programming skills ideally in R or Python.

• Knowledge of RMS RiskLink/RiskModeller and/or AIR Touchstone user interface platforms is a plus

• Strong analytical skills. Pro-active, hands-on mentality and can-do attitude. Self-starter and solution oriented. Flexible, can adapt according to priorities. Expertise in digital technology

• Clear communicator, able to structure an argument and ability to explain complex issues in a simple way. Team player, interested in sharing knowledge and helping to develop the team.

• Professional Skills in data science, predictive modelling & analytics, machine learning, AI

• Professional Programming skills

Required Education

• Excellent academic qualifications including a minimum of a bachelor's degree in mathematics, actuarial science, other scientific discipline (statistics, physics, natural science), economics or finance. An advanced degree (master's or PhD) would be a plus.

• English: B2 level (CECRL)