Accumulation Modelling & Data Analyst

 40% of the role will be supporting the global R&D function. Large proportions of this will include engaging with local P&M, Underwriting and Management teams on R&D tasks. This will include analysis, supporting the core senior experienced R&D analysts, whilst enhancing, documenting and supporting the existing continuous development of the approaches/processes for the SCOR view of risk.

40% will be working on the support of natural and non-natural catastrophe accumulation and analytics. Enhancing and supporting others, with priorities set and managed by the manager to provide flexibility to achieve business deadlines and objectives. This will primarily involve enhancing, optimising and embedding processes for global accumulation analytics (natural and non-natural). 

20% will also support many other aspects of the team’s responsibilities and processes ranging from supporting the Global accumulations of risks in order to monitor against limits / capacities as well as steer and optimise the portfolio.  Includes the supporting development / industrialisation of processes / tools to support these tasks.

Supporting the natural catastrophe R&D review, validation, documentation and future streamline of data analytics 

• Support the global cat model evaluation of new vendor models / model updates.
• Undertake mini research projects to address areas of vendor model uncertainty and limitations and help deepen our understanding of natural perils modelled. Provide quick effective solutions to models and data issues.
• Support studies on the impact of climate change on SCOR's view of risk.
• Assist with the global natural and non-natural event response analysis and reporting.

Supporting and enhancing the accumulation and aggregation process and analytics (Nat CAT but also the Non CAT, Treaty and SBS exposures)

• Establish a strong relationship with the owners of the data feed by establishing a well-defined process, as well as strong collaboration with all other internal stakeholders (UW, pricing etc)
• Develop a deep understanding of the systems, processes, scenarios, data inputs and outputs.
• A technical professional on Non-Cat vendor models, analytics and accumulation.
• Support the Non-Cat regulatory elements for all of SCOR. In addition supporting the Head of Exposure Management and the SCOR Syndicate enhance its non-cat maturity within Lloyd’s.
• Monitor P&C’s risk profile and define alert trigger point for risk accumulation
• Steer the portfolio through analyses of the evolution of accumulation and portfolio optimisation analyses.
• Develop and enhance non-cat accumulation and scenario analytics within NORMA and SCOR Syndicate Capital Model.
  
  Support the development, maintenance and update of the tools and processes supporting the Accumulation Management
• Processes:
  • Harmonize the approach for the risk identification and aggregation, the assessment, the monitoring and the reporting of the accumulations at various levels (risk, portfolio, cedent, region, country, entity, division…)
  • Define and implement guidelines on data (structure and type) needed for the analysis of the accumulations (including refinement of the optimal frequency of updates)
• Research: Continue R&D aspects for the continuous development of the approaches/processes including but not limited to the subsequent data augmentation and enrichment of SCOR’s data for enhanced analyses.
• Tools:
  • Enhance, harmonize and maintain the tools and systems for to support the risk accumulation process.
  • Includes the interaction between the various source tools and the reporting layer.

Required experience & competencies

• Preferably 2-5 years of insurance or reinsurance experience in exposure/catastrophe modelling, actuarial or quantitative areas such as capital modelling, pricing and/or reserving.
• Digital Competencies: Experience in using standard business software a must. Competence in a language/tool supporting numerical programming also desired (e.g. Python, R, MAtlab).
• Personal Competencies: Actuary working towards full qualification or a person with an advanced degree in a closely related field where strong quantitative skills are required.

Required Education 

• A person with an advanced degree in a closely related field where strong quantitative skills are required.