
Junior Quantitative Risk Analyst
| Location: London | Reference: 00031384 |
| Job Class: Risk | Contract Basis: Full Time, Permanent |
| Salary Range: £33,000 - £45,000 | Posted: 05/05/2010 |
| Plus Competitive Benefits | Closes: 10/08/2010 |
As one of the UK's leading financial services Santander offers a comprehensive range of financial products and a high standard of service to 24 million customers. We are part of one of the world's largest banks - Grupo Santander, which means we're stronger than ever and looking to the future with confidence.
Reporting to the Head of the Quantitative Risk Group, this role belongs within the model validation team who are responsible for the validation of derivatives pricing models across the Wholesale Bank. This opportunity has arisen within the London QRG as part of the expansion of the Global Markets division.
The successful candidate will be assessing the suitability of derivatives models for pricing and risk management purposes. In particular, you will assess the appropriateness of the mathematical and financial assumptions, as well as the accuracy and robustness of the implementation. This will involve a combination of theoretical and practical work and will require the building of independent benchmark models.
With a good understanding of stochastic mathematics and educated to PhD level (or equivalent) in a numerate discipline, you will already possess solid mathematical skills, and a high level of programming skills ideally in Matlab and C++. You will also have practical knowledge of financial derivatives and ideally be able to read and communicate in Spanish as well as having some prior exposure within a quantitative role.
Sorry, this opportunity is not currently open for new applications.Reporting to the Head of the Quantitative Risk Group, this role belongs within the model validation team who are responsible for the validation of derivatives pricing models across the Wholesale Bank. This opportunity has arisen within the London QRG as part of the expansion of the Global Markets division.
The successful candidate will be assessing the suitability of derivatives models for pricing and risk management purposes. In particular, you will assess the appropriateness of the mathematical and financial assumptions, as well as the accuracy and robustness of the implementation. This will involve a combination of theoretical and practical work and will require the building of independent benchmark models.
With a good understanding of stochastic mathematics and educated to PhD level (or equivalent) in a numerate discipline, you will already possess solid mathematical skills, and a high level of programming skills ideally in Matlab and C++. You will also have practical knowledge of financial derivatives and ideally be able to read and communicate in Spanish as well as having some prior exposure within a quantitative role.
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