Employers

Who is hiring, and what applying looks like · trailing 90 days (2026-08-08 → 2026-11-05, SGT) · Mobile
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
GOOGLE ASIA PACIFIC PTE. LTD.Local Tech 172 1.08 100.0% (17/17)
I-CONSULT TECH PTE. LTD.Consulting 163 0.07 100.0% (16/16)
OAKTREE CONSULTINGConsulting 123 0.11 100.0% (12/12)
TYSON JAY MANAGEMENT PTE. LTD.Other 120 2.50 100.0% (12/12)
HI5 CONSULTING SOLUTIONS PTE. LTD.Consulting 90 0.11 100.0% (9/9)
EVYONIC SOLUTIONS PTE. LTD.Other 80 0.25 100.0% (8/8)
HI5 ELITE PTE. LTD.Other 80 0.00 100.0% (8/8)
CYBERBOT (S) PTE. LTD.Other 76 2.36 100.0% (7/7)
RECRUIT EXPRESS PTE LTDOther 52 0.25 100.0% (5/5)
ENCORA TECHNOLOGIES PTE. LTD.Local Tech 40 —(n=4) —(n=4)
EXASOFT CONSULTING PTE. LTD.Consulting 40 —(n=4) —(n=4)
HERDHR PRIVATE LIMITEDLocal Tech 42 —(n=4) —(n=4)
RANDSTAD PTE. LIMITEDOther 42 —(n=4) —(n=4)
APAR TECHNOLOGIES PTE. LTD.Consulting 30 —(n=3) —(n=3)
CYBERBOT PTE. LTD.Other 31 —(n=3) —(n=3)
DADACONSULTANTS PTE. LTD.Consulting 31 —(n=3) —(n=3)
DYSON OPERATIONS PTE. LTD.Other 31 —(n=3) —(n=3)
ITCAN PTE. LIMITEDLocal Tech 33 —(n=3) —(n=3)
STRATEGY SOLUTIONS SERVICESConsulting 31 —(n=3) —(n=3)
TIKTOK PTE. LTD.Local Tech 30 —(n=3) —(n=3)
AIRWALLEX (SINGAPORE) PTE. LTD.Bank & FinTech 20 —(n=2) —(n=2)
ASTRA TECH LABSOther 20 —(n=2) —(n=2)
EPS CONSULTANTS PTE LTDConsulting 22 —(n=2) —(n=2)
GMP RECRUITMENT SERVICES (S) PTE LTDOther 21 —(n=2) —(n=2)
HCL SINGAPORE PTE. LTD.MNC 20 —(n=2) —(n=2)

By employer type

Other98Consulting76Local Tech41Bank & FinTech6Startup5MNC4Government2

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

27 days
Median, closed postings
243
Postings measured
55
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 55 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 days249.9%
15-30 days12651.9%
30-60 days9338.3%
60+ days00.0%

Postings worth a second look

Of 49 postings on the board, 0.0% have been listed over 60 days (0) and 20.4% have been reposted at least once (10). 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
Mobile232 0.29 7.62 5.8%

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.