Financial risk manager
AI Exposure Rank
69/100
Range 56–77/100 across source-weight sensitivity checks
Financial risk manager has an AI Exposure Rank of 69/100, meaning its work is more exposed to current AI capabilities than approximately 69% of Singapore occupations. The evidence currently points to workflow redesign; this is a relative rank, not a probability of job loss.
Managers·SGD 12,924/mo (9,275–18,658)·~6.3K workers in SG·Updated 2026-06-11
Relative AI exposure, not a prediction of job loss. Hiring, wages and role design depend on many forces this rank does not forecast.
Why This Score
68% of tasks overlap with current AI
56% human advantage from judgment & presence
63% demand buffer from the local labour market
These factors interact with each other — the final score is not a simple sum of these bars.
The evidence behind this occupation's AI exposure, with human-work and demand context shown separately. How this works
Tasks AI can handle
With 68% AI task overlap (based on Felten AIOE and ILO occupational exposure), the Financial risk manager tasks most exposed include: financial modeling, data extraction from filings, ratio analysis, report generation, transaction categorization, and regulatory document summarization.
- • Establish and maintain relationships with individual or business customers or provide assistance with problems these customers may encounter.
- • Manage investment funds to maximize return on client investments.
- • Select or direct the execution of trades.
O*NET tasks for this occupation with the most observed AI usage (Anthropic task data).
What AI can't do here
At 56% human bottleneck protection, the tasks that remain hardest to automate for Financial risk manager include: judgment on risk vs. return, client advisory relationships, regulatory interpretation in edge cases, fraud detection in novel scenarios, and strategic capital allocation.
Skills to focus on
Sources: Felten AIOE (2021), ILO GenAI (2025), Pizzinelli et al. bottleneck model. Full methodology.
Singapore Now
Current labour market conditions and how they affect this role.
Cooling, but not collapsing. Vacancies and re-entry are softer, yet retrenchment remains low and hiring still exceeds resignations.
Vacancy
3.1%
↓ 3.1% YoY
Hiring
1.5%
vs 0.9% resign
Retrenchment
1.5
per 1,000 · low
Re-entry
67.7%
find work in 12mo· -5.3pp
Professionals, Managers, Executives & Technicians · 2025 Q4
Top Industries
Industry vacancy overlays use the latest published detailed cross-tab, which can lag the main labour monitor.
What You Can Do
Financial risk manager has some offset potential, but it depends on task redesign holding up in practice and on workers clearing the main switching frictions.
Published transition support
Related roles you could transition to
Exposure-reducingThis occupation has higher relative AI exposure, and its best adjacent move ranks in the weakest quarter of exposure-reducing options. Mobility outcomes also depend on demand, wages, skills and access to credible transitions. See all occupations in this quadrant.
Compare within Managers
See how this compares to similar occupations
Compare with... →Classification
More exposed than approximately 68% of occupations · V8 AI Exposure Rank· University Degree
Raw scores
AIOE 0.740 · θ 0.682 · C-AIOE 0.594
Stability
stable · Optimistic 18% · Pessimistic 25%
Score range (best/worst case)
Exposure sensitivity 58–76% · Rank sensitivity 56–77/100 across source-weight sensitivity checks
Scoring basis
V8 AI Exposure Rank. A relative Singapore occupation index. It ranks AI task exposure; it is not a probability of job loss or a percentage of tasks.
Wage range (SGD/mo)
25th 9,275 · Median 12,924 · 75th 18,658
Evidence & sources
Data matching
direct · SSOC 13463
Data quality
medium evidence · 2 exposure sources · direct mapping
Capped at high · Final rating: medium · capped for sparse source coverage
100% weighted task match · 31% effective coverage
AI overlap by data source
Weights: aioe 47% · ilo 53%
Tools & offset factors
Common tools (O*NET proxy)
What helps
- A meaningful share of the work can likely be reorganized around AI rather than removed outright.
What could slow it down
- Current demand support is thin, so offsets may take longer to show up.
Worker profile & local context
- Vacancy rate is 3.1% and was essentially flat versus last quarter.
- Hiring read: recruitment is running above resignation (1.5% vs 0.9%).
- Retrenchment was low at 1.5 per 1,000 employees.
- 67.7% of retrenched workers re-entered employment within 12 months.
- Live job ads show 0 visible postings in the last 30 days, led by Risk Management, SQL, Go.
- Employer pressure is low, based on 2 recent Singapore-relevant company signals.
Worker profile
Gender mix
70% male / 30% femalePublished Singapore worker composition for the detailed occupation family 13 Production & Specialised Services Managers.
Employment structure
More self-employed79% employees, 21% employers or self-employed workers.
Work arrangement
Mostly full-time3% part-time and 97% full-time in 2025.
Age profile
Mid-career heavy2% aged 15 to 29, 58% aged 30 to 49, and 40% aged 50 or older.
Qualification mix
Degree-heavyDegree 73%; Diploma / professional qualification 14%.
Gross wage by sex
Female median 14% lowerPublished June 2024 gross wage medians: male $14,014, female $12,000.
Where this work is concentrated
Top planning areas
Bedok, Sengkang, Hougang20% of workers in this occupation group live in these three planning areas.
Residential concentration
Broadly distributed30% live across the top five planning areas in the 2020 Census.
Commute pattern
Shorter commutesEstimated average commute 32.0 minutes. 21% take 46 minutes or more.
Role profile
How this role's work breaks down across key dimensions. This is a general profile, not an individual measurement.
Workflow dimensions (0 = low, 1 = high)
How this changes by career stage
Career stage can change the task mix and human context. These directional profiles are illustrative, not occupation-level forecasts of hiring or displacement.
Frequently asked questions
Will AI replace Financial risk manager?
Financial risk manager has an AI Exposure Rank of 69/100, meaning its work is more exposed to current AI capabilities than approximately 69% of Singapore occupations. The evidence currently points to workflow redesign; this is a relative rank, not a probability of job loss. AI Exposure Rank: 69/100 (High). Median wage: SGD 12,924/month.
What is the AI exposure rank for Financial risk manager?
Financial risk manager has an AI Exposure Rank of 69/100, rated High. It ranks higher than approximately 69% of Singapore occupations for exposure to current AI capabilities; it is not a job-loss probability.
What career transitions are available for Financial risk manager?
Financial risk manager has modeled transition pathways to related occupations. The strongest adjacent pathway is Insurance services manager, based on skill and wage similarity (model-estimated). Transition scoring accounts for wage preservation, training ease, and destination quality.
How does Financial risk manager salary compare in the live market?
Financial risk manager earns a median gross wage of SGD 12,924/month in the live market (25th-75th percentile: SGD 9,275-18,658). This is 187% above median across all 562 scored occupations, and 58% above group median within Managers occupations.