Principal Accountabilities Model validation for derivatives pricing and credit risk models and, in some cases, independent replication of the results; Providing quantitative support to counterparty risk calculations including calibration of credit simulation models to historical data and pre-trade analysis of credit risk of derivatives transactions; Product and market data analysis in Front Office and Risk systems to ensure correct risk representation; Detailed analysis and regression testing of pricing and Monte-Carlo simulation models used for credit risk calculations Documenting model validation and testing results; Further development of in-house quant risk tools in C# and Python Key Competencies & Qualifications Higher quantitative degree essential, preferably in Physics, Maths, Quant Finance, or Engineering. Proven track record in one or more of the following areas in an investment banking environment: Model validation Model development Counterparty Risk analysis of derivatives transactions Wide product knowledge across asset classes; Strong knowledge of pricing and risk models including Monte-Carlo techniques; Familiarity with credit risk measures: PFE, EPE, CVA; Solid quantitative skills and ability to carefully analyse data at a detailed level; Programming ability, preferably in C# or Python - good to have; Knowledge of Calypso and Adaptiv Credit Risk systems - useful but not essential.