Employers

Who is hiring, and what applying looks like · trailing 90 days (2026-08-08 → 2026-11-05, SGT) · 0-2 yrs · Data
Experience: all0-23-56+unstated
Role: allAI-MLBackendDataFrontendFullstackMobileOther-ITPlatformSRESecurity

1. Who is posting

Grouped by UEN, Singapore's legal-entity number — two spellings of one employer are one row. Per-employer figures are withheld below 5 postings: one posting's applicant count is not a company's character, and a disclosure rate over three postings says nothing about its policy. "Applications/day" divides each posting's applicant count by how long it had been listed, then takes the median across the employer's postings.

EmployerTypePostingsOn board nowApplications/dayStates pay
RECRUIT EXPRESS PTE LTDOther 1811 1.33 100.0% (18/18)
COMBUILDER PTE LTDConsulting 121 3.00 100.0% (12/12)
FLINTEX CONSULTING PTE. LTD.Consulting 112 0.50 100.0% (11/11)
MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTDOther 96 1.40 100.0% (9/9)
PERSOL SINGAPORE PTE. LTD.Other 92 1.25 100.0% (9/9)
TALENTSIS PTE. LTD.Startup 93 0.36 100.0% (9/9)
BGC GROUP PTE. LTD.Other 80 1.00 100.0% (8/8)
MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.Other 80 3.18 100.0% (8/8)
PEOPLE PROFILERS PTE. LTD.Other 80 1.07 100.0% (8/8)
TIKTOK PTE. LTD.Local Tech 83 0.54 100.0% (8/8)
BYTEDANCE PTE. LTD.Local Tech 71 0.30 100.0% (7/7)
GMP TECHNOLOGIES (S) PTE LTDOther 73 0.67 100.0% (7/7)
PERSOL TECH SERVICES PTE. LTD.Consulting 60 8.40 100.0% (6/6)
ONE TECH STOP PTE. LTD.Consulting 51 0.92 100.0% (5/5)
XIAOMI TECHNOLOGIES SINGAPORE PTE. LTD.Other 53 5.08 100.0% (5/5)
RANDSTAD PTE. LIMITEDOther 41 —(n=4) —(n=4)
DADACONSULTANTS PTE. LTD.Consulting 33 —(n=3) —(n=3)
HYPERSCAL SOLUTIONS PTE. LTD.Local Tech 31 —(n=3) —(n=3)
INFOCEPTS PTE. LTD.MNC 32 —(n=3) —(n=3)
IT CONSULTANCY & SERVICES PTE LTDConsulting 30 —(n=3) —(n=3)
JOBSTER PRIVATE LTD.Other 33 —(n=3) —(n=3)
REOLINK TECHNOLOGY PTE. LTD.MNC 31 —(n=3) —(n=3)
SCIENTEC CONSULTING PTE. LTD.Consulting 31 —(n=3) —(n=3)
SUCCESS HUMAN RESOURCE CENTRE PTE. LTD.Other 32 —(n=3) —(n=3)
Skills and Workforce Development AgencyGovernment 31 —(n=3) —(n=3)

By employer type

Other150Consulting65Local Tech35Startup27Government10MNC9Bank & FinTech6

Type is derived from the company's SSIC industry code and headcount, not self-declared — read it as a bucket, not a badge.

2. How long postings stay up

30 days
Median, closed postings
314
Postings measured
113
Still up, not measured

This is how long closed postings stayed up — not how long a posting lasts. A posting still on the board has no end date, so it cannot be counted, and the ones that linger are exactly the ones missing. The figure therefore runs short, and the 113 still up are the size of what it cannot see. Resolution is one day: collection is a daily batch.

Listed forPostingsShare
<7 days00.0%
7-14 days154.8%
15-30 days15047.8%
30-60 days14947.5%
60+ days00.0%

Postings worth a second look

Of 103 postings on the board, 0.0% have been listed over 60 days (0) and 12.6% have been reposted at least once (13). Signals, not verdicts — a genuinely hard-to-fill role looks the same from outside as a listing nobody intends to close.

3. How contested

Median applications and views per day, by discipline, over the trailing 90 days. Both counters are cumulative totals read at collection time, so they are divided by how long each posting had been listed — otherwise the figure measures how old a posting is rather than how contested. Withheld below 5 postings.

DisciplinePostingsApplications/dayViews/dayApply rate
Data302 1.50 11.20 14.3%

These are snapshots, not trends. Each collection overwrites the view and application counters, so no history is kept — "applications this week" and "competition over time" are questions this system cannot answer, and nothing here should be read as movement.

Numbers computed by SQL from public MyCareersFuture data; data is refreshed daily, so it lags the live market by up to 24h. Methodology: docs/03-data-model.md · data freshness · Compliance: aggregate statistics only, no personal data.