Bank officer salary in Singapore
- Credit or loans officer: S$4,827 median a month. Middle 50% earn S$4,000 to S$5,673.
- Bank teller: S$4,572. Bank operations clerk: S$5,294. Back office administrator: S$5,868.
- Graduates: S$4,400 (SUSS Finance) to S$4,860 (NUS Business Administration (Hons)) median, six months after graduating.
- Over time: bank teller pay rose from S$3,280 in 2020 to S$4,572 in 2025.
- AI: the ILO rates three of the four titles Very high, its highest exposure band.
How much do bank officers earn?
A credit or loans officer earns S$4,827 at the median. Back office administrators earn S$5,868 and bank tellers S$4,572.
Gross monthly wage, June 2025, all industries.
| Occupation, all industries | Basic wage, median | Gross, 25th pct | Gross, median | Gross, 75th pct |
|---|---|---|---|---|
| Credit/Loans officerFull detail | 4,827 | 4,000 | 4,827 | 5,673 |
| Bank tellerFull detail | 4,530 | 4,040 | 4,572 | 5,162 |
| Bank operations clerkFull detail | 5,219 | 4,356 | 5,294 | 6,667 |
| Financial services back office administratorFull detail | 5,529 | 4,658 | 5,868 | 7,304 |
Cell references
T4!C272:I272, T4!C357:I357, T4!C356:I356, T4!C283:I283- Narrow ranges: the middle 50% of bank tellers spans S$4,040 to S$5,162.
- Back office administrators have the widest range, S$4,658 to S$7,304.
- Basic and gross: a credit officer's median basic wage and median gross wage are both S$4,827.
Starting salary for finance and business graduates
Finance and business graduates earn S$4,400 to S$4,860 at the median six months after graduating.
Graduates in full-time permanent jobs, surveyed on 1 November 2025. MOE's survey has no banking degree, so finance, business and economics courses are shown.
| University and programme | Basic, median | Gross, median | Gross, mean | Gross, middle 50% |
|---|---|---|---|---|
| NUS, Business Administration (Hons) | 4,669 | 4,860 | 5,463 | 4,300 to 6,000 |
| NTU, Economics | 4,500 | 4,621 | 4,709 | 4,100 to 5,200 |
| SMU, Business Management | 4,500 | 4,600 | 5,234 | 4,000 to 5,525 |
| SUSS, Finance | 4,325 | 4,400 | 4,775 | 4,145 to 5,134 |
- NUS Business Administration (Hons): S$4,860, middle 50% S$4,300 to S$6,000.
- NTU Economics: S$4,621. SMU Business Management: S$4,600.
- SUSS Finance: S$4,400, middle 50% S$4,145 to S$5,134.
Job outcomes for finance and business graduates80.2% of responding NUS Business Administration (Hons) graduates were in full-time permanent jobs, against 64.9% for SUSS Finance.
80.2% of responding NUS Business Administration (Hons) graduates were in full-time permanent jobs, against 64.9% for SUSS Finance.
Share of graduates in the labour force.
| Programme | Course response rate | Currently employed | In full-time permanent employment |
|---|---|---|---|
| NUS, Business Administration (Hons) | 70% | 87.3% | 80.2% |
| NTU, Economics | 72% | 86.2% | 78.5% |
| SMU, Business Management | 72% | 84.8% | 75.9% |
| SUSS, Finance | 68% | 83.8% | 64.9% |
- Between 64.9% and 80.2% of graduates in these courses were in full-time permanent jobs six months after graduating.
How pay changes with age
Credit officer pay rises from S$4,031 at 25 to 29 to S$5,010 at 40 to 49, then is S$4,827 at 50 to 59.
Median gross monthly wage by age group.
| Occupation | 25–29 | 30–39 | 40–49 | 50–59 |
|---|---|---|---|---|
| Credit/Loans officer | 4,031 | 4,827 | 5,010 | 4,827 |
| Bank teller | 4,100 | 4,572 | 4,640 | 4,692 |
| Bank operations clerk | 4,490 | 5,611 | 5,987 | 5,260 |
| Financial services back office administrator | 4,600 | 5,845 | 6,879 | 6,418 |
Cell references
T3!C229:K229, T3!C302:K302, T3!C301:K301, T3!C239:K239- Back office administrators: S$4,600 at 25 to 29 and S$6,879 at 40 to 49, a S$2,279 rise.
- Bank tellers: S$4,100 to S$4,692 across the four bands. Pay changes little with age.
- How to read it: each age band shows different people in June 2025, not one person's career.
By sex and employer sizeBank tellers at firms with 200 or more staff earn S$4,597, against S$4,130 at smaller firms.
Bank tellers at firms with 200 or more staff earn S$4,597, against S$4,130 at smaller firms.
| Occupation | All, median gross | Men | Women | Women vs men |
|---|---|---|---|---|
| Credit/Loans officer | 4,827 | 4,827 | 4,827 | +0.0% |
| Bank teller | 4,572 | 4,540 | 4,592 | +1.1% |
| Bank operations clerk | 5,294 | 5,298 | 5,294 | -0.1% |
| Financial services back office administrator | 5,868 | 6,139 | 5,854 | -4.6% |
Cell references
T1.1!C237:E237, T1.2!C229:E229, T1.1!C312:E312, T1.2!C299:E299, T1.1!C311:E311, T1.2!C298:E298, T1.1!C246:E246, T1.2!C237:E237| Occupation | Firms with 25 to 199 employees | Firms with 200 or more | Large vs small |
|---|---|---|---|
| Credit/Loans officer | 5,286 | 4,827 | -8.7% |
| Bank teller | 4,130 | 4,597 | +11.3% |
| Bank operations clerk | 5,750 | 5,232 | -9.0% |
| Financial services back office administrator | 6,283 | 5,854 | -6.8% |
Cell references
T2!C263:G263, T2!C346:G346, T2!C345:G345, T2!C274:G274- Credit officers: S$4,827 for both men and women. Bank operations clerks: S$5,298 and S$5,294.
- Back office administrators: S$6,139 for men and S$5,854 for women.
- Credit officers and operations clerks earn more at smaller firms: S$5,286 and S$5,750, against S$4,827 and S$5,232 at firms with 200 or more staff.
- These compare two groups. They are not an adjusted pay gap.
By employer industry
Credit officers in finance and insurance earn S$4,827 at the median. MOM also publishes S$5,482 for information and communications.
| Employer industry | Median gross wage | Gross wage, middle 50% |
|---|---|---|
| Information and Communications | 5,482 | 5,276 to 6,683 |
| Financial and Insurance Services | 4,827 | 4,000 to 5,684 |
Cell references
T4.6!C88:I88, T4.7!C100:I100- MOM publishes credit officer pay for 2 of 14 industries. The finance and insurance figure is the same as the all-industry median, S$4,827.
Pay over time and 2026 outlook
Bank teller pay rose from S$3,280 in 2020 to S$4,572 in 2025. We project S$4,500 for tellers and S$5,520 for bank operations clerks in June 2026.
Official medians for the last six years, then a projection for June 2026.
| Occupation | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Trend |
|---|---|---|---|---|---|---|---|
| Credit/Loans officer | – | – | – | – | – | 4,827 | |
| Bank teller | 3,280 | 3,489 | 3,558 | 3,914 | 3,965 | 4,572 | |
| Bank operations clerk | – | – | – | 4,945 | 5,150 | 5,294 | |
| Financial services back office administrator | – | – | – | – | – | 5,868 |
June 2026 projection Estimate
| Occupation | June 2025 (MOM) | June 2026 projection | 80% range | Range |
|---|---|---|---|---|
| Credit/Loans officer | 4,827 | Not projected: not enough history | ||
| Bank teller | 4,572 | 4,500 | 3,940 to 5,130 | |
| Bank operations clerk | 5,294 | 5,520 | 4,760 to 6,400 | |
| Financial services back office administrator | 5,868 | Not projected: not enough history | ||
- Most of the rise came in 2025: teller pay was S$3,965 in 2024.
- Bank operations clerks: S$4,945 in 2023, S$5,150 in 2024, S$5,294 in 2025.
- Credit officers and back office administrators are new titles in MOM's 2025 tables, so there is no history to project.
- Estimate: projections are ours, not MOM data. MOM's June 2026 figures are due around mid-2027 and will replace them.
Is bank operations work affected by AI?
The ILO rates credit officers, bank operations clerks and back office administrators Very high, and bank tellers High.
Based on the International Labour Organization's 2025 index, which scores every core task of a job from 0 (AI cannot help) to 1 (AI could do nearly all of it).
AI can do much of the routine work in this job. It is among the most exposed jobs.
- Most exposed taskKeeping records of payments, and preparing routine letters…
- Least exposed taskInterviewing applicants
- In numbersAI could do a large part of 6 of its 6 main tasks.
AI can do a large part of many tasks, so the job is likely to change noticeably.
- Most exposed taskCrediting and debiting clients' accounts
- Least exposed taskReceiving mail, selling postage stamps and conducting other…
- In numbersAI could do a large part of 5 of its 6 main tasks.
AI can do much of the routine work in this job. It is among the most exposed jobs.
- Most exposed taskProcessing insurance enrolments, cancellations
- Least exposed taskPreparing financial documents, and calculating interest or…
- In numbersAI could do a large part of 5 of its 5 main tasks.
AI can do much of the routine work in this job. It is among the most exposed jobs.
- Most exposed taskKeeping records of payments, and preparing routine letters…
- Least exposed taskInterviewing applicants
- In numbersAI could do a large part of 6 of its 6 main tasks.
- Not exposed
- Minimal
- Some
- Moderate
- High
- Very high
Scored as ILO group 3312 Credit and loans officers. Average task score 0.60, higher than 97% of the 427 jobs the ILO scored.
- Not exposed
- Minimal
- Some
- Moderate
- High
- Very high
Scored as ILO group 4211 Bank tellers and related clerks. Average task score 0.58, higher than 96% of the 427 jobs the ILO scored.
- Not exposed
- Minimal
- Some
- Moderate
- High
- Very high
Scored as ILO group 4312 Statistical, finance and insurance clerks. Average task score 0.64, higher than 99% of the 427 jobs the ILO scored.
- Not exposed
- Minimal
- Some
- Moderate
- High
- Very high
Scored as ILO group 3312 Credit and loans officers. Average task score 0.60, higher than 97% of the 427 jobs the ILO scored.
| Factor | Credit/Loans officer | Bank teller | Bank operations clerk | Financial services back office administrator |
|---|---|---|---|---|
| 1Exposure levelThe ILO's rating for the whole job, from not exposed up to very high. | Very high | High | Very high | Very high |
| 2Average task scoreHow much of each core task generative AI could do, averaged. 0 means none, 1 means nearly all. | 0.60 higher than 97% of jobs | 0.58 higher than 96% of jobs | 0.64 higher than 99% of jobs | 0.60 higher than 97% of jobs |
| 3Tasks AI could do much ofTasks scoring 0.5 or more. These are the parts of the job most likely to change. | 6 of 6 | 5 of 6 | 5 of 5 | 6 of 6 |
| 4Hands-on or people tasksTasks scoring under 0.25: physical, in-person or judgement work that AI barely touches. | 0 of 6 | 0 of 6 | 0 of 5 | 0 of 6 |
| 5How even the exposure isEven means AI touches most tasks a little. Uneven means a few tasks are exposed and the rest are not. | Even (0.04) | Even (0.08) | Even (0.02) | Even (0.04) |
| 6Most exposed taskWhere AI tools are likely to show up first. | Keeping records of payments, and preparing routine letters… 0.66 | Crediting and debiting clients' accounts 0.64 | Processing insurance enrolments, cancellations, claims… 0.67 | Keeping records of payments, and preparing routine letters… 0.66 |
| 7Least exposed taskThe task AI can help with least. | Interviewing applicants for personal, mortgage, student and… 0.55 | Receiving mail, selling postage stamps and conducting other… 0.40 | Preparing financial documents, and calculating interest or… 0.60 | Interviewing applicants for personal, mortgage, student and… 0.55 |
| 8Pay trend so farChange in the MOM median since the first year on record. Any AI effect would show here in later years. | Not enough years | +39% S$3,280 (2020) to S$4,572 (2025) | +7% S$4,945 (2023) to S$5,294 (2025) | Not enough years |
- 0.66Keeping records of payments, and preparing routine letters requesting payment…
- 0.64Submitting credit and loan applications to management with recommendations…
- 0.61Approving or rejecting loan applications within authorized limits ensuring…
- 0.55Interviewing applicants for personal, mortgage, student and business loans
- 0.57Researching and evaluating loan applicant’s financial status, references…
- 0.60Completing credit and loan documentation
- 0.64Crediting and debiting clients' accounts
- 0.64Paying bills and making money transfers on clients' behalf
- 0.63Changing money from one currency to another, as requested by clients
- 0.40Receiving mail, selling postage stamps and conducting other post office…
- 0.59Making records of all transactions and reconciling them with cash balance
- 0.60Process customer cash deposits and withdrawals, cheques, transfers, bills…
- 0.67Processing insurance enrolments, cancellations, claims transactions, policy…
- 0.65Calculating totals, averages, percentages and other details and presenting…
- 0.60Preparing financial documents, and calculating interest or brokerage charges…
- 0.64Maintaining records of bonds, shares and other securities bought or sold on…
- 0.66Keeping records of payments, and preparing routine letters requesting payment…
- 0.64Submitting credit and loan applications to management with recommendations…
- 0.61Approving or rejecting loan applications within authorized limits ensuring…
- 0.55Interviewing applicants for personal, mortgage, student and business loans
- 0.57Researching and evaluating loan applicant’s financial status, references…
- 0.60Completing credit and loan documentation
Cell references
SSOC 33120 to ISCO 3312 (SSOC2024-ISCO08!B546); SSOC 42111 to ISCO 4211 (SSOC2024-ISCO08!B663); SSOC 43121 to ISCO 4312 (SSOC2024-ISCO08!B690); SSOC 33160 to ISCO 3312 (SSOC2024-ISCO08!B553)- Bank operations clerks: average task score 0.64, higher than 99% of the 427 jobs the ILO scored. AI could do a large part of 5 of 5 main tasks.
- Credit officers: 0.60, higher than 97% of jobs. Interviewing applicants is the least exposed task; keeping payment records and preparing routine letters the most.
- Bank tellers: 0.58. Crediting and debiting accounts is the most exposed task.
- What exposure measures: how much of the work AI could do or speed up. It does not measure job cuts. Employers decide how to use AI.
Which figure should you compare with?
Match your title first, then your age band and your employer's size.
| You are | Compare with | Figure |
|---|---|---|
| Choosing a finance or business course | Finance and business degrees, six months after graduating | S$4,400 to S$4,860 |
| Credit or loans officer, early career | Credit officer, age 25 to 29 | S$4,031 |
| Credit officer in your forties | Credit officer, age 40 to 49 | S$5,010 |
| Branch teller or customer service officer | Bank teller row | S$4,572 |
| Operations or settlements clerk | Bank operations clerk row | S$5,294 |
| Back office administrator | Financial services back office administrator row | S$5,868 |
About these figures
What the pay figures includeMonthly gross pay with allowances and overtime, without bonuses or employer CPF
Every figure is monthly, includes allowances and overtime, and excludes bonuses and employer CPF.
| Measure | Includes | Excludes |
|---|---|---|
| Basic wage | Basic pay | Allowances, overtime, bonus, employer CPF |
| Gross wage | Basic + allowances + overtime + commissions | Bonus, employer CPF, lump sums |
| Graduate salary | Same as gross, full-time permanent jobs only | Bonus, employer CPF |
- S$4,827 × 12 = S$57,924 a year before bonus. It is not a total package.
What this data does not coverBonuses are excluded, and relationship managers, analysts and bank managers have other MOM titles.
Bonuses are excluded, and relationship managers, analysts and bank managers have other MOM titles.
- Other bank jobs: relationship managers, credit analysts, financial analysts and branch managers are separate MOM titles. See the accounting and finance field page.
- Titles vary: MOM records the title the employer reports. Customer service officers at branches may be coded as bank tellers.
- Bonuses: excluded from every figure. Bank bonuses can be a large part of pay.
- Residents only: figures cover full-time Singapore citizens and permanent residents. Staff on work passes are not included.
- Small firms with fewer than 25 staff are outside the survey.
Related guides
Sources
MOM Occupational Wages 2025 and MOE Graduate Employment Survey 2025
- MOM, Occupational Wages 2025, Tables 1 to 4. June 2025, released 30 June 2026. SSOC 33120, 42111, 43121, 33160. Exact cells are listed under each table.
- MOE, NTU GES 2025. Economics.
- MOE, NUS GES 2025. Bachelor of Business Administration (Hons).
- MOE, SMU GES 2025. Business Management.
- MOE, SUSS GES 2025. Bachelor of Science in Finance.
- MOM, Coverage and Methodology 2025.
- ILO generative AI exposure index 2025, matched to SSOC through the SingStat correspondence table.