Cyber Underwriting Analyst

Description de l'offre

EMEA

Paris France (FR)

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Cyber Underwriting Analyst

Permanent

Actuarial

About SCOR

SCOR is the 4th largest Reinsurance Company worldwide, following a profit-driven underwriting policy and practising selectively across all branches of reinsurance. Our specialist teams operate in over 120 countries, developing value added and innovative products and services and making long-term commitments to their clients, namely insurers and large corporations.
The Group’s strategy is based on a development model driven by three entities: SCOR Global P&C (Property and Casualty reinsurance), SCOR Global Life (Life reinsurance), and SCOR Global Investments (asset management).

Job Summary

SCOR Global P&C (SGPC) is recruiting a Cyber Risk Modeler based in Paris to support the development of Cyber Underwriting. The Cyber Risk Modeler will be in charge of the development, operation and evolutions of SGPC cyber modeling capabilities globally.

Department

The Cyber Solutions Unit has been implemented by SCOR Global P&C to take care of all P&C business related aspects of Cyber for both Treaty and Large corporate risks

The objective of Cyber Solutions is to equip SCOR Global P&C with the required skills and talents in order to:

· Provide an in-depth analysis of the Cyber insurance market and business potential for SCOR Global P&C
· Define SCOR Global P&C risk appetite and positioning in this market
· Build the Underwriting framework for Facultative and Treaty including:
· Risk assessment & pricing methodology
· Risk accumulation monitoring and management
· Underwriting Guidelines
· Build-up the Underwriting team in charge of implementing the defined strategy

Cyber Solutions acts as a global unit serving the entire SGPC Division.

Key duties and responsibilities

The Cyber Risk Modeler will develop, implement, operate and maintain cyber tools that shall address both Insurance and Reinsurance operations. In close cooperation with internal and external stakeholders and for each specific modeling task, the Cyber Risk Modeler will:

· Define model inputs and structure
· Review research on cyber risk modeling and perform a continuous survey of cyber model development
· Collect structured and unstructured information on cyber events and define a calibration method(s) to homogenize data
· Identify relevant cyber risks factors and determine how they should be quantified
· Build and calibrate the Cyber model in liaison with actuaries and underwriters
· Produce business specification and manage relationship with IT team for model integration in SGPC’s new or existing Underwriting, Risk aggregation or Pricing tools
· Ensure tool validation, user acceptance and tool roll-out including support to users
· Keep the documentation on the underlying methodologies and user guide up to date
· Produce KPI and regular reports

Review and maintain the model over time and adapt it as necessary to fit evolutions of cyber risks

Required experience & competencies

Experience:

· A minimum of 3/5 years’ experience in statistics, data analytics or computer science is required.

Personal Competencies:

· The candidate must be trained in either Computer Science, Data Analytics, or Statistics. He/she will have MSc. or a PhD in one of the fields and relevant experience in one of the others.
· He/she will have a first experience with modeling, actuarial studies or cyber risk analysis
· knowledge of or interest in insurance/reinsurance business and principles.
· Strong analytical and modelling skills
· Excellent synthesis skills: drills down to explore root causes of observable facts; is able to reduce complicated factual contents to the essentials.
· Experience in project management, ability to control a roadmap and budget and interact with subcontractors
· The candidate must be innovative and bring proposals to enhance model developments.
· Programming and Algorithmic skills are a strong plus.

Soft skills:

· Curiosity
· Ability to interact with different profiles (underwriters, actuaries, cyber experts…) on a daily basis
· Communication skills and ability to present his/her work to potentially large audiences
· Well organized, efficient and autonomous

Digital Competencies:

The candidate must be absolutely fluent with digital technologies

HR Contact : Léa Ferran