White Oak Credit Services, LLC H-1B wage filings

San Francisco, CA. Last filed in fiscal 2023. Figures cover every filing since fiscal 2020; none in the latest 12 months reach five.

White Oak Credit Services, LLC filed 11 wage applications for H-1B and similar visas from fiscal 2020 to fiscal 2023. The median wage it offered was $113,300, 15.7% above the government's prevailing wage for the same jobs. Its most-filed job was Associate (3 filings, median $113,300).

Filings since FY2020
11
Positions covered
11
Certified
100.0%
Job titles
6
Worksite cities
2
Last filed
FY2023

Offered wage since 2020

White Oak Credit Services, LLC made 11 filings across 4 fiscal years since 2020, too few in most years to track the wage year by year. Its busiest full year was fiscal 2020, with 4 filings.

Middle half of offered wagesMedian offered wageMedian prevailing wageFilings per year

$80k$100k$120k$140k$160k$130k$112k42020420211202222023

Fiscal years run October to September.

White Oak Credit Services, LLC by fiscal year

Fiscal yearFilingsMedian offeredvs year beforeMedian prevailingvs prevailing
20232n/an/an/an/a
20221n/an/an/an/a
20214$111,650−14.1%$92,373+21.8%
20204$130,000n/a$109,366+4.9%

Offered wage by job title

Middle half of offered wagesMedian offered wageMedian prevailing wage

Job titleFilingsMedian offeredOffered range and prevailing wagevs prevailing
Associate3$113,300+12.1%
Fund Accountant2$105,000+8.4%
Senior Analyst2$124,630+15.7%
Accounting Manager, Fund Accounting1$150,000+23.5%
Manager, Quantitative Analytics1$160,000+1.9%
Senior Accountant1$150,000+37.2%

Where the jobs are

WorksiteFilingsMedian offered
San Francisco, CA9$124,630
San Clemente, CA2$111,650

By visa type: 11 H-1B. By outcome: 11 certified.

Seniority of the jobs filed

Level I, entry0%
Level II, qualified0%
Level III, experienced64%
Level IV, fully competent36%

The government assigns each job one of four wage levels. A higher level means a higher legal minimum.

What these numbers are

Source: U.S. Department of Labor, OFLC disclosure data. How we clean and count it.

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