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Our client a leading business operating at the heart of the pension management industry are seeking a Quant Strategist to support the enhancement of the quantitative toolkit, developing systems and datasets that enable efficient modelling and analysis across their portfolio.
Job Responsibility:
Ensure existing models, libraries, and analytics remain accurate, robust, and well-documented
Support BAU production processes, including running ALM analytics
Undertake research to enhance modelling methodologies
Work closely with ALM, Investment, Actuarial and Risk teams to refine modelling assumptions
Develop and implement model components for production deployment, ensuring clean code
Requirements:
1-4 years commercial experience contributing to model development or calibration, within an investment, actuarial, ALM, or risk environment
Strong academic record in a quantitative discipline
Professional qualifications (e.g., CFA, FIA, CQF, PhD) would be advantageous, but not essential
Programming experience in Python, MATLAB, or similar would be considered
Experience of working with large financial datasets
Knowledge of ALM concepts or liability-driven investment (LDI) principles is extremely advantageous
Nice to have:
Professional qualifications (e.g., CFA, FIA, CQF, PhD)
Programming experience in Python, MATLAB, or similar
Knowledge of ALM concepts or liability-driven investment (LDI) principles