eFinancialCareers

• Company

  7FiftyTwo Solutions

• Location

  UK-London

• Compensation

  Upto 95,000 + bonus + bens

• Position Type

  Permanent

• Employment type

  Full time

• Updated

  14 Sep 2009

• eFC Ref no

  538990

Credit Desk Strategist - PhD Financial Mathematics, Quant strategy, Credit Derivatives, CDO's, bonds, convertibles

In addition to a proven track record within trading/supporting the Credit desk with CDO Single Names strategies, the successful candidate should have strong skills in applied mathematics, knowledge of mathematical finance, knowledge of financial markets. A Masters degree in Computational Finance, a Masters degree in Mathematical Finance, or a Ph.D. in finance or economics, or a Ph.D. in mathematics or a computational science is strongly preferred. (Specific knowledge of Emerging Market activities, credit dynamics, or mortgages are a plus.)
Strong hands on technology skills are a core requirement (C++ programming and statistical packages such as SAS or Matlab; Excel VBA) along with the ability to discuss and market ideas is required. Strong communication & collaboration skills are necessary. Candidates should have a Market inquisitive’ nature and strong desire to be commercially relevant through the development of financial analytics and the application of analytical skills to find and risk manage trading positions. The candidate must be able to couple knowledge of mathematical finance, empirical statistics, and market knowledge to identify revenue enhancing/risk reducing trade opportunities. Previous experience in designing and implementing analytics which have gained widespread use on one or more trading desks is extremely desirable and  a good track record of marketing successful strategies to the trading desk and their clients as well as having demonstrable experience of designing and structuring various trades for clients and traders.
Previous leadership skills and a track record of mentoring and directing highly skilled quantitative professionals in the development, implementation, and adoption of analytics that have had a revenue positive impact on the business is highly beneficial.