oversee that a customer's needs are met in a timely fashion Follow up on outstanding quotations Provide prompt
Process Quotes sent by customers in a timeous fashion so that customer Gets the quotes back promptly
Process Quotes sent by customers in a timeous fashion so that customer Gets the quotes back promptly
reinsurance analysis as well as complex pricing models. The candidates will be working in the General mathematics, etc. Strong proficiency in statistical modelling techniques and programming languages such as R Insurance, either in pricing or reserving and capital modelling. Qualified Actuary. Advantageous if you have the Capital modelling including reviews of economic capital models, building challenger models and quantitative stochastic optimisation including geospatial modelling. Product pricing and design, including reviews
reinsurance analysis as well as complex pricing models. The candidates will be working in the General mathematics, etc. Strong proficiency in statistical modelling techniques and programming languages such as R Insurance, either in pricing or reserving and capital modelling. Qualified Actuary. Advantageous if you have the Capital modelling including reviews of economic capital models, building challenger models and quantitative stochastic optimisation including geospatial modelling. Product pricing and design, including reviews
Responsibilities: Model Validation and Development: Validate and develop complex financial models to ensure accuracy assessments to ensure the robustness of financial models and mitigate potential risks. Reporting: Prepare Prepare detailed reports and presentations on model performance and findings for stakeholders. Collaboration: latest industry trends and advancements to enhance model quality and performance. Qualifications: Educational field. Experience: 3-5 years of solid experience in model validation or development within the banking or
Responsibilities: Model Validation and Development: Validate and develop complex financial models to ensure accuracy assessments to ensure the robustness of financial models and mitigate potential risks. Reporting: Prepare Prepare detailed reports and presentations on model performance and findings for stakeholders. Collaboration: latest industry trends and advancements to enhance model quality and performance. Qualifications: Educational field. Experience: 3-5 years of solid experience in model validation or development within the banking or
calculations using R/Python. Capital Modelling: Review economic capital models and perform quantitative validation capital adequacy through detailed analysis and modelling. Reinsurance Reviews: Conduct in-depth reinsurance advanced geospatial modelling techniques to enhance risk assessment. Projection Models Development: Build Build sophisticated projection models for Own Risk and Solvency Assessment (ORSA) and business planning capital models and SAM standard formula. Experience in reinsurance reviews and geospatial modelling. Proven
Data Analysis and Modelling : Develop, validate, and implement quantitative models for risk management Development : Conduct research to improve existing models and develop new methodologies for quantitative management, finance, and IT, to integrate quantitative models into business processes. Risk Management : Identify quantitative analysis. Regulatory Compliance : Ensure all models and analytical processes comply with regulatory
Data Analysis and Modelling : Develop, validate, and implement quantitative models for risk management Development : Conduct research to improve existing models and develop new methodologies for quantitative management, finance, and IT, to integrate quantitative models into business processes. Risk Management : Identify quantitative analysis. Regulatory Compliance : Ensure all models and analytical processes comply with regulatory