Employers

Who is hiring, and what applying looks like · trailing 90 days (2026-06-23 → 2026-09-20, SGT) · 6+ yrs · Platform
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
PERSOL SINGAPORE PTE. LTD.Other 468 0.55 100.0% (46/46)
RANDSTAD PTE. LIMITEDOther 3718 0.54 100.0% (37/37)
RECRUIT EXPRESS PTE LTDOther 268 0.14 100.0% (26/26)
EVOLUTION RECRUITMENT SOLUTIONS PTE. LTD.Consulting 2311 0.72 100.0% (23/23)
OAKTREE CONSULTINGConsulting 228 0.40 100.0% (22/22)
GMP TECHNOLOGIES (S) PTE LTDOther 2111 0.48 100.0% (21/21)
D L RESOURCES PTE LTDLocal Tech 2012 0.62 100.0% (20/20)
SAKSOFT PTE LIMITEDLocal Tech 175 0.38 100.0% (17/17)
NTT SINGAPORE PTE. LTD.Other 166 0.45 100.0% (16/16)
STAR CAREER CONSULTING PTE. LTD.Consulting 144 0.13 100.0% (14/14)
AIRWALLEX (SINGAPORE) PTE. LTD.Bank & FinTech 118 2.22 100.0% (11/11)
OPTIMUM SOLUTIONS (SINGAPORE) PTE LTDConsulting 110 0.61 100.0% (11/11)
TANGSPAC CONSULTING PTE LTDConsulting 115 0.50 100.0% (11/11)
IKAS INTERNATIONAL (ASIA) PTE. LTD.Other 108 2.27 100.0% (10/10)
LUXOFT INFORMATION TECHNOLOGY (SINGAPORE) PTE. LTD.Consulting 105 1.40 100.0% (10/10)
ALLEGIS GROUP SINGAPORE PRIVATE LIMITEDOther 85 2.33 100.0% (8/8)
JOBLINE RESOURCES PTE. LTD.Other 82 0.27 100.0% (8/8)
STRADA SINGAPORE PAYROLL PTE. LIMITEDConsulting 84 0.25 100.0% (8/8)
ADECCO PERSONNEL PTE LTDOther 73 1.80 100.0% (7/7)
BEATHCHAPMAN (PTE. LTD.)Other 72 1.00 100.0% (7/7)
CORNERSTONE GLOBAL PARTNERS PTE. LTD.Other 73 0.23 100.0% (7/7)
ENCORA TECHNOLOGIES PTE. LTD.Local Tech 74 0.92 100.0% (7/7)
GIC PRIVATE LIMITEDBank & FinTech 73 1.58 100.0% (7/7)
GOLDTECH RESOURCES PTE LTDConsulting 72 1.33 100.0% (7/7)
HAYS SPECIALIST RECRUITMENT PTE. LTD.Other 71 0.39 100.0% (7/7)

By employer type

Other422Consulting342Local Tech115Bank & FinTech51Startup45Government10MNC7

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
618
Postings measured
375
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 375 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 days172.8%
15-30 days34155.2%
30-60 days26042.1%
60+ days00.0%

Postings worth a second look

Of 374 postings on the board, 0.0% have been listed over 60 days (0) and 12.3% have been reposted at least once (46). 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
Platform992 0.58 7.30 11.0%

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.