= 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);
}
Sr. Manager, Statistical Analysis – Basel II |
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ADD TO JOB CART TO APPLY
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| Job Title: |
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SR. MANAGER, STATISTICAL ANALYSIS – BASEL II
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Job Description: Job ID(18581) |
Leading financial services company seeks experienced statistical leader to become the team lead for Retail Model Validation for Basel II models relating to Pillar I and Pillar II capital requirements. The role will be part of the Scoring Office (within Risk Management), which is responsible for the governance of all models and predictions across the enterprise.
Position is based in VA Washington DC suburbs. Responsibilities include:
Lead a team in charge of directly validating all Basel-related models for all Retail portfolios
Ensure defendability of modeling results by providing effective challenge and independent review
Directly contribute to a variety of validation activities, including review of model design, data review, building internal benchmark models, evaluating stress scenarios, and sensitivity analyses
Influence best practices for the core team of model builders
Engage with regulators as needed to showcase independent review results
Communicate important issues to senior management in business units and within Risk Management
Direct management of other associates
Qualifications:
Masters Degree (Phd Preferred) in Statistics, Economics, Math, Industrial Engineering or Operations Research
5-10 Years experience in Statistical, or Econometrics hands-on work (can include Graduate School Research work)
5+ years using SAS
3 years experience building PD/LGD/EaD models for retail portfolios in a Basel setting
Direct prior experience as a hands-on validator of models preferred
Recruiter: Howard Fishman
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| Salary: |
$90-150k plus |
Location: |
McLean, VA |
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| Keywords: | Basel, Risk Management, SAS, Model Validation, Statistical Modeling |
| Job Categories: |
Consumer Credit/Credit Cards, Risk Management, Statistics/Econometrics |
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