Support the modelling teams in developing, maintaining, and documenting risk and other high-impact models (including SST, Solvency II, pricing, and underwriting)
Produce, analyze and report on model results to guide strategic business decisions
Implement validation tools, execute validation tests and produce comprehensive reports
Collaborate cross-functionally, work on a variety of strategic projects with stakeholders across the Risk and Actuarial departments

Master’s degree or PhD in Mathematics, Statistics, Actuarial Science, Quantitative Finance, or other quantitative field
Recent graduate or up to 1 year of relevant experience in the (re)insurance industry, consulting, or a financial institution
Strong statistical, data modelling and programming skills (R and/or Python)
Excellent communication and relationship-building capabilities, with fluent written and spoken English
Experience in risk and capital modelling or currently pursuing/planning to pursue an actuarial qualification is advantageous

Quantitative Risk Modeller

Key skills