MSc Applied Mathematics | Financial Risk
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I am currently pursuing a Master’s degree in Applied Mathematics with a focus on financial mathematics, stochastic control, and risk modelling. My academic work centers on insurance and financial systems under uncertainty, particularly optimal reinsurance and investment strategies in complex risk environments.
My research explores how claim contagion, regime-switching markets, and stochastic dynamics influence decision-making in insurance and finance. I work with tools from stochastic differential equations, optimal control theory, and numerical methods to model and analyze real-world financial risk problems.
I am particularly interested in quantitative finance, actuarial science, and risk management, where mathematical theory meets practical financial decision-making. My goal is to build strong expertise in modelling uncertainty and developing optimal strategies in dynamic financial systems.
I value precision, analytical thinking, and rigorous problem-solving, and I am continuously developing my programming and modelling skills to complement my mathematical background.