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Thursday, 17th May, 2012
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Exact Match
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Morgan McKinley

Front Office Quant Research (RISKASR078643)

Risk Area: Credit Risk
Risk Category Credit Risk
Job Category: Analyst
Location: London
Salary Range: Competitive
Job Type: Permanent
Close Date: 31 Jan 2008
Job Description:

Top tier European Investment Bank is hiring within its front-office quantitative research group supporting the equities execution business. 

Principal fields of research and implementation include algorithmic execution, market micro-structure, market impact modelling, high-frequency data, optimal trading strategies, portfolio analytics, risk models and more.

Skills/Experience:

They are seeking Quant Developers possessing a broad range of IT skills and relevant experience in developing algorithmic trading platforms. Strong Java is essential, C++ is useful. Unix/Linux and knowledge of scripting languages (Python, sed, awk, etc) is essential. The candidate is expected to have good knowledge of middleware, networking, threading, distributed computing, IPC, good design skills and good problem solving skills. 

They are also seeking a Quantitative Analyst supporting a new programme aimed at algorithmic execution of exchange-traded derivatives. Relevant skills would be econometrics, time series analysis, order book research, vanilla derivatives, statistics, familiarity with high-frequency financial data, matlab or similar, statistical packages and optimisation.

Company/Agency: Morgan McKinley
Contact: Shane O'Doherty
email: sodoherty@morganmckinley.com
Website: www.morganmckinley.com
 
 
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