Employers

Who is hiring, and what applying looks like · trailing 90 days (2026-06-23 → 2026-09-20, SGT) · 3-5 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 3014 0.36 100.0% (30/30)
TALENTSIS PTE. LTD.Startup 3014 0.69 100.0% (30/30)
ITCAN PTE. LIMITEDLocal Tech 275 0.39 100.0% (27/27)
RN CARE PTE. LTD.Other 2218 0.58 100.0% (22/22)
SCIENTEC CONSULTING PTE. LTD.Consulting 197 0.31 100.0% (19/19)
RAPSYS TECHNOLOGIES PTE. LTD.Other 165 1.12 100.0% (16/16)
ABEAM CONSULTING (SINGAPORE) PTE. LTD.Consulting 152 0.69 100.0% (15/15)
FLINTEX CONSULTING PTE. LTD.Consulting 143 0.50 100.0% (14/14)
MANPOWER STAFFING SERVICES (SINGAPORE) PTE LTDOther 141 0.54 100.0% (14/14)
PERSOL SINGAPORE PTE. LTD.Other 144 0.89 100.0% (14/14)
RANDSTAD PTE. LIMITEDOther 128 0.67 100.0% (12/12)
JOBLINE RESOURCES PTE. LTD.Other 91 0.25 100.0% (9/9)
OPTIMUM SOLUTIONS (SINGAPORE) PTE LTDConsulting 94 0.57 100.0% (9/9)
ACTIVATE INTERACTIVE PTE LTDStartup 88 0.50 100.0% (8/8)
BASIL TECHNOLOGIES PTE. LTD.Local Tech 87 0.82 100.0% (8/8)
ELLIOTT MOSS CONSULTING PTE. LTD.Consulting 85 0.63 100.0% (8/8)
ALLEGIS GROUP SINGAPORE PRIVATE LIMITEDOther 74 1.63 100.0% (7/7)
AVATAR MODERN TECHNO SERVICES PTE. LTD.Other 70 0.19 100.0% (7/7)
DCI CONSULTANTS PRIVATE LIMITEDConsulting 74 0.58 100.0% (7/7)
INNOWAVE TECH PTE. LTD.Consulting 71 0.53 100.0% (7/7)
JOBSTER PRIVATE LTD.Other 77 0.30 100.0% (7/7)
MICRON SEMICONDUCTOR ASIA OPERATIONS PTE. LTD.Other 75 1.42 100.0% (7/7)
TIKTOK PTE. LTD.Local Tech 72 0.55 100.0% (7/7)
WEBSPARKS PTE. LTD.Consulting 73 0.54 100.0% (7/7)
ZENITH INFOTECH (S) PTE LTD.Local Tech 73 1.58 100.0% (7/7)

By employer type

Other346Consulting234Local Tech92Startup75Bank & FinTech18MNC14Government5

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
474
Postings measured
310
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 310 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 days132.7%
15-30 days23248.9%
30-60 days22948.3%
60+ days00.0%

Postings worth a second look

Of 310 postings on the board, 0.0% have been listed over 60 days (0) and 16.1% have been reposted at least once (50). 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
Data784 0.69 7.23 11.7%

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.