= 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);
}
RMBS Quantitative Research / Modeler - Asset Manager |
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| Job Title: |
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RMBS QUANTITATIVE RESEARCH / MODELER - ASSET MANAGER
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Job Description: Job ID(18682) |
Asset Manager in New York is looking for a Structured Products Quantitative Analyst with experience modeling RMBS and CDOs. The successful candidate will be part of the firms Structured Products Investment team and will provide senior level programming and quantitative analytic support for the firms RMBS and CDO portfolio holdings. The candidate must have 7+ years of experience performing collateral level analysis and cash flow modeling on complex RMBS (agency and non-agency) structures. Candidates must have an advanced quantitative degree [Math, CS, Fin Eng], demonstrated experience using risk and valuation models [Andrew Davidson, Loan Performance, PPR] and tools [Bloomberg, Intex, Yieldbook, Factset, Polypaths] that assist traders and PM'::s to identify relative values of RMBS and CDOs structured securities, and be comfortable performing quantitative analysis of large datasets such as Loan Performance. Requirements for this position include current prepayment, default and loss modeling experience, working with loan level mortgage data, excellent C++ programming skills, strong knowledge of non-agency RMBS, and superior communication skills to interact with Portfolio Managers and Traders.
Recruiter: Jim Geiger
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| Salary: |
Compensation Competitive |
Location: |
New York |
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| Job Categories: |
Fixed Income Research, Sales & Trading, Risk Management |
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