| THE LOOKOUT | Singapore · 11 Oct 2026 |
Reviewed 84 sources across 2 evidence bands this cycle — 3 developments mattered: the 3 forces below.
Secretary · monthly brief
Several moderate signals point to a divided market: Singapore-based banking, wealth and life-sciences activity can sustain local coordination needs, while DBS’s clearer India technology footprint shows that support work can follow operating hubs abroad. For someone in this role, the opening is likelier where business activity creates local calendars, records, client contact and regulated workflows. The pressure sits on routine information handling: tools such as Claude and Aladdin are getting better at processing, checking and routing work, although observed AI use remains limited. More forces are stirring, but no single signal is definitive. The solid read is selective support alongside location and task pressure; the Lookout is watching both sides without forcing a move.
Your role at a glance
| ▼ | Where the work gets done | Pressures the role |
| ▲ | Hiring and demand | Supports the role |
| ▼ | How the work itself is changing | Pressures the role |
+4 smaller forces moving — nothing material.
The lead
▼ Where the work gets done
Pressures the role
DBS’s technology identity is more firmly centred in India, showing how portable support work can follow a regional hub rather than remain in Singapore. Barclays’s Singapore booking centre and WuXi Biologics’ local facility add counterweight, but the pressure favours anchoring secretary work to on-site presence, regulated records and relationships that must stay local.
Additional sources — malaysia.news.yahoo.com · gcc.economictimes.indiatimes.com · prudentialplc.com · businesstimes.com.sg · bbc.com · businesstimes.com.sg (2) · idaireland.com · idaireland.com (2) · mpa.gov.sg · wealthbriefing.com
Also moving
OCBC’s higher staff and IT spending, alongside stronger trade and cash-management activity, points to more coordination and administrative load, though record fees sit beside weaker wholesale-banking profit. The opening is therefore selective: secretary work can lean toward banking sub-segments where client activity and operational support needs are landing.
ocbc.com · uobgroup.com · isomorphiclabs.com
Additional sources — fpafinancial.com · bis.org · rulebook.sgx.com · bloomberg.com · schroders.com · caas.gov.sg · citywealthmag.com · mas.gov.sg · theaccountant-online.com
Claude’s finance-task performance and Bank of Singapore’s Aladdin adoption show how routine data handling, document checks and workflow updates can move into software, even while secretary AI use remains limited. The role’s sturdier ground is fluency with those tools plus the judgment-heavy work around exceptions, priorities and sensitive coordination.
leanware.co · asianprivatebanker.com · deepmind.google
Additional sources — deloitte.com · googlecloudpresscorner.com · bbc.com · ocbc.com · jobsandskills.skillsfuture.gov.sg · theasianbanker.com · quickbooks.intuit.com · metr.org
The wider market
New firm formation
Not shown: formation figures are published per industry cluster, and none has been matched to you.
Employer hiring build-out
No qualifying build-outs stored for this occupation this cycle.
Counts for the entire MCF snapshot — every employer and occupation — not for the rows above. Postings considered: 114379 · Postings excluded: 74984 (employer 790, occupation 47355, credibility 26839)
MCF coverage is forced by the Fair Consideration Framework rather than organic, so two groups are structurally under-represented. Senior roles exempt from the FCF advertising requirement appear at roughly 1 in 400 postings, so the senior end — finance especially — is largely absent. Micro fund managers and family offices hire through recruiters or networks and never post under their own UEN (0 of 16 observed), so their demand is invisible here.
Newly observed in the MAS register
No register periods stored yet — the figure is a difference between two published traversals, so it appears once a second one lands.
AI benchmarks that test work like yours
Each observed score above is read from Epoch AI's aggregator exactly as published, never re-graded or re-weighted — who originally published it is disclosed per result, below. The 12-month change is the Lookout's own comparison between two such observations; the scores being compared are still exactly as published. These are published test results, so they are a floor: a model given better tools or more time can do better.
A benchmark exercises activities that appear in your role; it does not measure your job.
Evidence bands this cycle: “In the reporting” — independent press and analyst coverage · “From the source” — institutions speaking for themselves.
Every claim above links to an independent source (not every wider-market figure links to an independent source: the platform's own computed statistics, any benchmark result that is reported by a model's own vendor or whose origin is not established, and which of your role's activities a benchmark exercises — the platform's own curated match, not the benchmark publisher's — are marked as such above). The Lookout always shows both sides: the risks to this job, and the new chances it's gaining. · hello@thelookout.ai
This page includes information from the O*NET 30.2 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. The Lookout (Manithan, Inc.) has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications.
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