= 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);
}
Quantitative Fixed Income Portfolio Research/Analyst |
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ADD TO JOB CART TO APPLY
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| Job Title: |
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QUANTITATIVE FIXED INCOME PORTFOLIO RESEARCH/ANALYST
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Job Description: Job ID(18321) |
A Fixed Income Investment firm is looking for an experienced investment professional for quantitatively based index portfolio management and quantitative portfolio analysis. Responsibilities include: research, develop and implement quantitative index replication strategies in global fixed income: support PM'::s and traders on security selection, performance attribution, and investment strategies, and develop rebalancing and optimization tools for portfolio management. The candidate should have an advanced quantitative degree, deep understanding of math/statistics, stochastic processes, optimization theory, numerical methods and statistical analysis. The role requires 5+ yrs of C++, or C development, Matlab, Splus and relational databases and knowledge of CPLEX is strongly preferred. The role also requires someone who has deep portfolio optimization experience, demonstrated hands-on work with fixed income securities and valuation and the ability and interest in interacting on a daily basis with fixed income portfolio managers.
Recruiter: Jim Geiger
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| Salary: |
Competitive Compensation |
Location: |
Boston, MA |
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| Job Categories: |
Fixed Income Research, Sales & Trading, Quantitative Finance/Financial Engineering |
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