= 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);
}
Stats (PhD) MBS-Pre-Payment Modeler |
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| Job Title: |
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STATS (PHD) MBS-PRE-PAYMENT MODELER
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Job Description: Job ID(18580) |
Major International Investment Bank in NYC is looking for a PhD Quant with experience in MBS/ABS Derivatives for a position within the Derivative Model Review Group.
The successful candidate will review and validate existing risk and trading models for theoretical soundness as well as provide analytic risk support and analysis of the firm'::s MBS trading business. Candidates must have 0-2 years of model validation experience and expertise in prepayment models for fixed rate and adjustable-rate mortgages, prepayment models for asset-backed securities, option-adjusted valuation and risk management tools for MBS, ABS, and CMOs. Candidates must have advanced degree (PhD preferred) in Statistics, or math with solid C/C++, VBA or Java programming skills. Compensation is very competitive. The firm will also look at fresh PhD'::s who have strong statistical programming skills, the desire to learn about pre-payment models, and the potential to develop into a world class quantitative modeler.
Recruiter: Jim Geiger
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| Salary: |
Competitive Compensation |
Location: |
New York |
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| Job Categories: |
Fixed Income Research, Sales & Trading, Quantitative Finance/Financial Engineering, Risk Management |
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