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Quantitative Analyst
Reference	bs/5ea4c113/00032494
Employer	Santander
Sector	Corporate Banking
Salary	Negotiable
Town/City	London
Locations	South East
Contract Type	Permanent
Date Posted	29/06/2010 10:56:00

Job Description

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.

The corporate models team within the UK Risk Methodology is responsible for the design, building and implementation of wholesale credit models to support Santander UK Corporate Banking and Santander Global Banking and Markets.

As part of the team restructuring a new vacancy has arisen to support the team functions. You will be involved in the design, building, implementation, documentation, training and performance monitoring of PD, LGD and EAD models. Your role will be to provide quantitative support to UK corporate banking as well as performing research into new corporate products. You'll liaise with structured credit to provide quantitative solutions in a timely manner and provide documentation and training on existing models. Liaising with other quantitative analysts within the Santander Group you will ensure that local solutions are consistent with any existing group approach.

Educated to MSc or PhD level in a numerate discipline or equivalent you'll have previous experience building credit models in some of the following sectors, Medium sized corporates (UK), Banks, UK public sector, UK social housing, Banks Trade Services, Project Finance and Education sector. You'll have an in depth knowledge of credit risk modelling and relevant exposure to modelling wholesale credit risk. With high programming skills (VBA, SAS, C++) and an excellent knowledge of Basel ll accord you will also be able to demonstrate team-working ability. Previous knowledge of Economic Capital models and methodology and exposure to R, C#, SAS and ASP.net would be a huge advantage along with your ability to speak Spanish.