Titre de fonction: Risk Modeller
Type de Job: Permanent
Catégorie d'emploi: Plein-temps
Industrie: Insurance
Localisation: Brussels, Belgium
Offre publiée: 27/11/2024
Numéro de l'offre: 33217

Description de poste

Our Client, an international Credit Insurance company, is looking for a Risk Modeller to execute the quarterly and yearly risk capital calculations and participate to the internal model development projects. 

 

Challenges

  • Development of new generation models.
  • Strengthening the SCR results analysis process.
  • Strengthening the annual model testing & review process and the recommendation issuance towards the local entities.
  • Integration of non modelled entities into the Internal Model.
  • Optimising internal processes.

 

Main tasks

  •  SCR Calculation:
    • Execute the quarterly SCR calculation and reporting.
    • Execute the yearly planning exercise.
    • Execute the yearly stress testing exercise.
    • Execute the ad-hoc scenario analysis exercise.
    • Interact with colleagues and management in explaining results.
  • Model Review & Testing:
    • Execute the yearly review and testing of model components.
    • Propose necessary improvements to models and develop model changes roadmap.
  • Tools development and maintenance:
    • Understand the existing data collection, data transformation, simulation and reporting tool built in SAS.
    • Understand and maintain the platform used to collect the data from the local entities.
    • Understand the simulation engine used for the TCI LoB loss simulation.
    • Propose continuous improvements to the tools' infrastructure and process optimisation.
    • Participate in the development and implementation of the necessary tools to support the model review, testing, analysis and reporting of SCR.

 

Profile

  • Master in Risk Management, Statistics, Quantitative Finance, Data Science or Mathematics.
  • Experience in the banking industry in the development, review or audit of the credit risk models, experience as a credit analyst.
  • Coding skills in Python and SAS; R is a strong asset.
  • Strong understanding of Solvency 2 framework, understanding of best practice model governance requirements an asset.
  • Project management skills and leadership.
  • Well organized and efficient.
  • Strong analytical mindset.
  • Detailed and result oriented.
  • Ability to work on several tasks/projects at the same time.
  • Ability to explain complex topics in a simple way.
  • Team player.
  • Easy to communicate with.
  • Resistant to stress.