= lcBodyText.lastIndexOf("";
highlightEndTag = "";
}
if (treatAsPhrase) {
promptText = "Please enter the phrase you'd like to search for:";
} else {
promptText = "Please enter the words you'd like to search for, separated by spaces:";
}
searchText = prompt(promptText, defaultText);
if (!searchText) {
alert("No search terms were entered. Exiting function.");
return false;
}
return highlightSearchTerms(searchText, treatAsPhrase, true, highlightStartTag, highlightEndTag);
}
/*
* This function takes a referer/referrer string and parses it
* to determine if it contains any search terms. If it does, the
* search terms are passed to the highlightSearchTerms function
* so they can be highlighted on the current page.
*/
function highlightGoogleSearchTerms(referrer)
{
// This function has only been very lightly tested against
// typical Google search URLs. If you wanted the Google search
// terms to be automatically highlighted on a page, you could
// call the function in the onload event of your tag,
// like this:
//
//var referrer = document.referrer;
if (!referrer) {
return false;
}
var queryPrefix = "q=";
var startPos = referrer.toLowerCase().indexOf(queryPrefix);
if ((startPos < 0) || (startPos + queryPrefix.length == referrer.length)) {
return false;
}
var endPos = referrer.indexOf("&", startPos);
if (endPos < 0) {
endPos = referrer.length;
}
var queryString = referrer.substring(startPos + queryPrefix.length, endPos);
// fix the space characters
queryString = queryString.replace(/%20/gi, " ");
queryString = queryString.replace(/\+/gi, " ");
// remove the quotes (if you're really creative, you could search for the
// terms within the quotes as phrases, and everything else as single terms)
queryString = queryString.replace(/%22/gi, "");
queryString = queryString.replace(/\"/gi, "");
return highlightSearchTerms(queryString, false);
}
/*
* This function is just an easy way to test the highlightGoogleSearchTerms
* function.
*/
function testHighlightGoogleSearchTerms()
{
var referrerString = "http://www.google.com/search?q=javascript%20highlight&start=0";
referrerString = prompt("Test the following referrer string:", referrerString);
return highlightGoogleSearchTerms(referrerString);
}
Credit Derivatives- Model Review (PhD) |
Return to:
|
Return to:
|
Return to:
|
|
|
ADD TO JOB CART TO APPLY
|
| Job Title: |
|
CREDIT DERIVATIVES- MODEL REVIEW (PHD)
|
|
Job Description: Job ID(18012) |
Leading investment bank in NY is looking for a quantitative PhD for their Market Risk team. The position will be responsible for developing and implementing models that support trading and risk management for their Credit Derivatives and Synthetic CDO trading.
This role will work closely with traders, controllers, and risk managers. The role requires an advanced degree (PhD strongly preferred) in a computational field, solid technical skills in risk system/model implementation in C/C++, VBA or Java, knowledge of RiskWatch, QuIC, Calypso, Summit, Matlab, SciComp, SAS, and S-Plus, and practical experience in risk modeling of Credit Correlation, CDO, and Synthetic CDO transactions.
This is Contract Only Position that will convert to a full time role next year.
Recruiter: Jim Geiger
|
| Salary: |
Competitive Compensation |
Location: |
New York |
|
|
| Job Categories: |
Fixed Income Research, Sales & Trading, Quantitative Finance/Financial Engineering, Risk Management |
***