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Quantitative Developer H-1B roles in CT, FY2017

Exact-title LCA role declarations for Quantitative Developer in CT during FY2017. Rows include employer, SOC, worksite, status, decision date, offered wage, prevailing wage, and source evidence. Showing 4 returned rows using keyset pagination.

Summary

This view lists 4 H-1B LCA role records.

Offered wages among the returned rows range from $106,059 to $135,000.

Employers in the returned rows include WorldQuant, LLC, PRICELINE.COM LLC, Paloma Partners Management Company.

LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.

RoleEmployerSOCStatus / visaDecisionWorksiteOffered wagePrevailing wageSource
QUANTITATIVE DEVELOPER
I-200-17073-579084
WorldQuant, LLC15-1133CERTIFIED / H-1B
FY2017
2017-03-20Old Greenwich, CT, 06870$120,000 to $0
year
$90,584sr_dol_oflc_lca_2017_q2_row_309514
QUANTITATIVE DEVELOPER
I-200-17059-501068
WorldQuant, LLC15-1133WITHDRAWN / H-1B
FY2017
2017-03-17Old Greenwich, CT, 06870$120,000 to $0
year
$90,584sr_dol_oflc_lca_2017_q2_row_305374
QUANTITATIVE DEVELOPER
I-200-16356-504640
PRICELINE.COM LLC15-1132CERTIFIED / H-1B
FY2017
2017-01-03Norwalk, CT, 06854$106,059 to $135,000
year
$106,059sr_dol_oflc_lca_2017_q2_row_092097
QUANTITATIVE DEVELOPER
I-200-16335-144376
Paloma Partners Management Company13-2099CERTIFIED / H-1B
FY2017
2016-12-06Greenwich, CT, 06836$160,000 to $0
year
$86,674sr_dol_oflc_lca_2017_q2_row_064141
End of returned pageReset

Frequently asked questions

What are the offered H-1B wages for Quantitative Developer H-1B roles in CT, FY2017?
Offered wages among the returned Quantitative Developer H-1B roles in CT, FY2017 rows range from $106,059 to $135,000 in DOL LCA filings. LCA filings are labor-condition applications certified by the U.S. Department of Labor, not active job postings or approved USCIS H-1B petitions.
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GET https://api.bluedoor.sh/h1b-jobs/v1/roles?limit=50&title=quantitative+developer&title_match=exact&state=CT&fiscal_year=2017JSON