Quantitative Risk Analyst - Investment Bank

This opportunity is for a quantitative analyst role within the Model Risk Management team. The primary function is to perform detailed validation of models from across the team's areas of responsibility, including Value at Risk (VaR), Credit Ratings, Credit Parameters, Counterparty Credit, Operational Risk and Economic Risk Capital (ERC) models. Team members will have the opportunity to diversify to broader analysis of model risk and any new modelling techniques that might result from specific regulatory requirements.

Model validation reviews typically include:

- Participation in working groups addressing modelling issues and the model control environment

- Investigating key aspects of each model under review: the choice of model, its correct implementation and optimal use of the model

- Developing independent modelling for comparison with that under validation

- Reviewing the issues, assumptions and limitations of both the proposed and independent modelling approaches

- Backtesting alternative models to evaluate and compare their performance using historical simulations

- Reviewing findings with colleagues in different groups including model developers, risk managers and traders

- Developing appropriate controls to mitigate for model risk and residual uncertainty

- Documenting the testing performed: theoretical background, modelling issues, assumptions and limitations, testing performed, results and control implications

- Candidates for the analyst role in the Model Risk Management team are expected to have a first degree in mathematics, physics or engineering, and probably a Masters or PhD in one of those areas or finance. Experience in data management and analysis or in Front Office IT would be an advantage.

- Hands-on experience of risk and capital modeling, derivatives pricing and broader financial modeling is desirable, but regardless of experience all candidates should be able to demonstrate an understanding of capital modeling, financial and derivative products and mathematics, from private study if they have not worked in the financial sector. Programming experience is advantageous