Develop and implement advanced financial models (DCF, scenario analysis, sensitivity testing) to support investment analytics and strategic decision-making.

Design and manage risk analytics frameworks, covering market risk, credit risk, and operational risk using quantitative and statistical methodologies.

Conduct credit risk assessments, including borrower profiling and modelling of probability of default (PD), loss given default (LGD), and exposure at default (EAD).

Develop and deploy fraud analytics solutions, leveraging anomaly detection, transaction monitoring, and behavioural analytics techniques.

Working hours per week: 39