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Quantitative Analyst (Market Risk), UK-London
Quantitative Analyst (Market Risk)
Company: Credit Suisse  
Location:   UK-London  
Remuneration:   Competitive  
Position Type:   Permanent  
Employment type:   Full time  
Updated:   25 Nov 2009  
eFC Ref no:   586445  
 


Quantitative Analyst

The Risk Methodology group in London wish to hire a quantitative analyst, specialising in the measurement of market risk.

Risk Methodology and Quantitative Analysis (RMQA) comprises three groups: Credit Exposure Management, Model Validation and Risk Methodology. Together they provide the Bank's risk methodology and quantitative capabilities, and are part of the wider Risk Measurement & Management (RMM) division of Credit Suisse.

The Risk Methodology group's main responsibility is the specification, maintenance and validation of the Firm's Value at Risk (VaR) calculation model and Economic Risk Capital (ERC) model for traded risk. This involves:

Identification of potential enhancements to the model.
Presentation of methodology-related proposals to internal clients (cluster managers, senior management), and to external clients (regulators).
Validation of the implementation of model specifications.
Overview of the rolling out of revised methodology to risk reporting.
Members of the group are also, periodically, requested to sign off the appropriateness and completeness of risk capture from portfolios under review. They must ensure that the information captured is adequate for the satisfactory capture of the generated market risk, and is also suitable for use by the VaR model, or for scenarios or other monitoring tools.

TO QUALIFY YOU MUST POSSESS:

The candidate should have a first degree in mathematics, theoretical physics, econometrics, statistics or engineering, followed by a PhD / MSc in one of those areas or in finance. Experience in market risk is desirable, although not essential. However, it is essential that the candidate has a good understanding of financial mathematics, and in particular an understanding of derivative instruments and the risks they generate. He or she also needs to understand the effects, and relative importance, of the underlying risk factors upon the value of the instruments.

A very strong mathematical background is essential. In addition a background in statistics, time series analysis and probability theory would be of particular interest. Problem solving skills as well as presentation and communication skills are essential. The candidate should be able to explain complex concepts to non-technical members of staff as well as present their proposals in a clear and precise manner to senior management the front office and regulatory bodies.

As one of the world's leading banks, Credit Suisse provides its clients with investment banking, private banking and asset management services worldwide. Founded in 1856, Credit Suisse has a long tradition of meeting the complex financial needs of a wide range of clients, offering advisory services, comprehensive solutions and innovative products to companies, institutional clients and high-net-worth private clients globally. Credit Suisse is active in over 50 countries and employs approximately 46,000 people. Further information can be found at www.credit-suisse.com.

Cultural diversity is essential to our success. As such, we employ people from more than 100 countries. Credit Suisse empowers employees to work openly and respectfully with each other and with clients, ultimately striving to deliver superior results while offering initiatives and programs to assist employees achieve a healthy work-life balance.

Right place, perfect opportunity
www.credit-suisse.com/careers

Credit Suisse is an Equal Opportunity Employer and does not discriminate in its employment decisions on the basis of any protected category.

To the extent permitted or required by applicable law, a candidate who is offered employment will be subject to a criminal record check and other background checks before the appointment is confirmed.

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Company:
Credit Suisse
Website:
www.credit-suisse.com
Address:
London
GB
Recruiter Ref:
3284

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