TL;DR
A US software developer had a median wage of $135,980 in May 2025, about ₹1.29 crore, on US Bureau of Labor Statistics data. On SYTalent Market Data, a mid-level fintech engineer in India costs ₹26 lakh to ₹49 lakh in fixed pay. Employer on-costs widen the gap: 7.65 per cent FICA in the US, 15 per cent employer NICs in the UK, against a capped EPF contribution in India.
The gap narrows sharply at the top. Senior AI leaders, frontier AI researchers and HFT quants are priced in a global market, and an India seat for those roles can cost close to what it costs elsewhere. Notice periods, ramp time and attrition also add cost that a salary table does not show.
Key points
- Official US medians (BLS, May 2025) sit at roughly two to four times SYTalent's India estimates for comparable mid-level engineering and data roles.
- The UK and Singapore occupation-level tables could not be verified for this edition, so we show only their verified national benchmarks and leave the rest out.
- Employer on-costs differ more than people assume: 7.65 per cent in the US, 15 per cent above £5,000 in the UK, 17 per cent up to S$8,000 a month in Singapore, and an EPF contribution capped at a ₹25,000 monthly wage ceiling in India.
- The India discount is real for engineering at scale and shrinks to little or nothing for HFT quants and frontier AI talent.
- The real cost in India sits in time: 60 to 90 day notice periods, counteroffers and ramp-up.
How to read this comparison
Official figures here are occupation-wide medians and means, as published. India figures are SYTalent Market Data. Read the gap as a size, not a precise ratio.
A BLS median covers every worker in an occupation, from a junior developer at a regional insurer to a staff engineer at a large technology company. India has no comparable official series for these roles, so the India column uses SYTalent Market Data ranges from our FinTech salaries in India 2027 benchmark and our AI jobs in India guide.
Conversions to rupees use the Reserve Bank of India's Handbook of Statistics, Table 205, June 2026 monthly average: ₹94.97 per US dollar and ₹126.70 per pound sterling. The RBI table does not carry the Singapore dollar, so Singapore figures stay in local currency.
Summary table: US official wages against India estimates
US medians for core AI and FinTech roles convert to about ₹1 crore to ₹1.7 crore. SYTalent's India estimates for comparable mid-to-senior seats sit at ₹26 lakh to ₹85 lakh.
| Role | US occupation (SOC) | US median, May 2025 | US mean, May 2025 | US median in ₹ (approx.) | India, SYTalent Market Data (annual) |
|---|---|---|---|---|---|
| Software engineer | Software developers (15-1252) | $135,980 | $148,100 | ₹1.29 Cr | ₹26 to 49 L mid-level fixed; ₹46 to 85 L senior or lead |
| AI or ML engineer | Computer and information research scientists (15-1221) | $140,300 | $153,930 | ₹1.33 Cr | ₹42 to 72 L, fintech ML engineer |
| Data scientist | Data scientists (15-2051) | $120,230 | $126,800 | ₹1.14 Cr | ₹29 to 55 L, fintech data scientist |
| Quant or financial analyst | Financial and investment analysts (13-2051) | $102,740 | $116,800 | ₹98 L | ₹29 to 44 L, quant risk modeller |
| Technology leader | Computer and information systems managers (11-3021) | $175,140 | Not shown | ₹1.66 Cr | ₹1.35 to 2.05 Cr fintech CTO; ₹1 to 2.5 Cr Head of AI |
US medians are from the BLS Occupational Outlook Handbook pages for software developers, data scientists, computer and information research scientists, financial and investment analysts and computer and information systems managers, all updated 27 August 2026 with May 2025 data. Means are from the BLS Occupational Employment and Wages, May 2025 release, published 15 May 2026. India figures are SYTalent Market Data on annual cash (2027 planning bands; Head of AI from 2026 estimates), not survey data.
Role-by-role comparison
AI and machine learning engineer
BLS has no separate code for AI or machine learning engineers. The closest official proxy is computer and information research scientists, with a median of $140,300 in May 2025.
On SYTalent Market Data, a fintech ML engineer in India costs ₹42 lakh to ₹72 lakh, and a fraud or credit ML engineer ₹45 lakh to ₹80 lakh. The India discount is largest for engineers who build and ship applications, and smallest for people with a research record, who weigh offers from global labs.
Software engineer
The BLS median for software developers was $135,980 in May 2025, about ₹1.29 crore, on employment of 1,687,890. On SYTalent Market Data, a mid-level fintech backend engineer in India costs ₹26 lakh to ₹49 lakh in fixed pay and a senior or lead ₹46 lakh to ₹85 lakh.
This is where the India case is strongest, because supply in Bengaluru, Hyderabad and Gurugram is deep. Our guide to building a fintech engineering team in India covers sequencing and structure.
Data scientist
The BLS median for data scientists was $120,230 in May 2025, on employment of 262,440. A fintech data scientist in India costs ₹29 lakh to ₹55 lakh on SYTalent Market Data. Inside India, one who has owned a credit or fraud model in production costs materially more than a generalist.
Quant or financial analyst
The BLS median for financial and investment analysts was $102,740 in May 2025, about ₹98 lakh. That occupation is broad and includes many non-quantitative analyst roles. On SYTalent Market Data, a quant risk modeller in an Indian fintech or NBFC costs ₹29 lakh to ₹44 lakh. Do not use this row for trading: HFT quants are a different market, covered below.
Senior technology leader
The BLS median for computer and information systems managers was $175,140 in May 2025, about ₹1.66 crore. SYTalent Market Data puts a fintech VP Engineering or CTO in India at ₹1.35 crore to ₹2.05 crore in annual cash, and a Head of AI at a GCC or large enterprise at ₹1 crore to ₹2.5 crore.
At this level the India discount largely disappears. The BLS occupation includes IT managers in every sector, while the India range describes leaders of regulated fintech platforms and AI functions, who are priced against global alternatives.
UK and Singapore: what the official data shows
We could verify the national benchmarks for the UK and Singapore but not their occupation-level tables, so the role rows for both countries are left out of this edition rather than estimated.
| Country | Official measure | Figure | Reference period | Approx. in ₹ |
|---|---|---|---|---|
| United Kingdom | Median gross annual earnings, full-time employees (ONS ASHE) | £39,039 | April 2025 | ₹49.5 L |
| Singapore | Median gross monthly income from work, full-time employed residents, including employer CPF (MOM) | S$5,775 a month | June 2025 | Not converted |
The UK figure is from the ONS Employee earnings in the UK: 2025 bulletin, published 23 October 2025. Occupation-level figures sit in ASHE Table 14 (SOC 2020). The Singapore figure is from MOM's Labour Force in Singapore Advance Release 2025. MOM's Occupational Wage Tables 2025 carry role-level June 2025 wages, and their gross wage definition excludes bonuses and employer CPF.
These are whole-economy medians, not technology pay, and are shown so the on-cost examples below rest on verified figures.
Employer on-costs by country
The US and UK levy employer contributions on almost all of a salary. Singapore and India cap theirs at a wage ceiling, which makes them small on a senior technology salary.
| Country | Main statutory employer cost | Rate | Base or ceiling | Source |
|---|---|---|---|---|
| India | Employees' Provident Fund (EPF and EPS) | 12 per cent of wages, of which up to 8.33 per cent goes to EPS | Mandatory on a wage ceiling of ₹25,000 a month from 17 September 2026 | PIB, September 2026; National Portal of India |
| India | Gratuity | Statutory, payable on exit | Under the Code on Social Security, 2020, in force from 21 November 2025; fixed-term employees eligible after one year | PIB, November 2025 |
| United States | Social Security and Medicare (FICA), employer share | 6.2 per cent plus 1.45 per cent, 7.65 per cent in total | Social Security on wages up to $184,500 in 2026; Medicare uncapped | IRS Topic 751; SSA |
| United Kingdom | Secondary Class 1 National Insurance | 15 per cent, up from 13.8 per cent | On earnings above £5,000 a year, from 6 April 2025 | HMRC policy paper |
| Singapore | Central Provident Fund, employer share | 17 per cent for employees aged 55 and below | Ordinary wage ceiling of S$8,000 a month from 1 January 2026 | CPF Board rates; CPF Board, OW ceiling |
Worked through on the official medians above:
- United States. On the software developer median of $135,980, employer FICA is about $10,400 a year.
- United Kingdom. On the full-time median of £39,039, employer NICs are about £5,100 a year.
- Singapore. At or above the ordinary wage ceiling, employer CPF on ordinary wages is S$1,360 a month. CPF applies to citizens and permanent residents; for a foreign employee it becomes payable once they obtain PR status.
- India. At the ₹25,000 ceiling, the mandatory employer contribution is ₹3,000 a month, or ₹36,000 a year. Employees joining above the ceiling are not automatically covered under the mandatory framework, and many employers contribute on actual basic pay by policy, so check your structure.
None of this covers health insurance, workplace pensions, unemployment taxes or benefits in kind. Model those separately.
Hidden costs the salary table does not show
The cheapest salary is not always the cheapest hire. In India the biggest hidden costs are time and retention, not cash.
Notice periods. Notice periods of 60 to 90 days are common in Indian technology employment. They are contractual rather than statutory, and a candidate who accepts today often joins a quarter later. Buyouts are possible but add to the cost and are not always granted.
Counteroffers. A long notice period gives the current employer time to counter, and strong AI and fintech candidates often hold more than one offer.
Ramp time. A new hire in a regulated fintech or trading environment needs time to learn the domain: payment rails, the RBI or SEBI framework, the firm's risk controls. A team built entirely from generalists ramps more slowly than its salary line suggests.
Attrition. A new GCC competes with every other GCC in the same city for the same people. Once a team becomes known for good engineers, it becomes a hunting ground. Budget for retention, not only acquisition.
Leadership. A team without a senior local leader with real authority tends to become a ticket queue for headquarters. Hire that leader early.
The GCC context
India hosts more than 2,100 global capability centres directly employing 23 lakh professionals, according to Finance Minister Nirmala Sitharaman in July 2026, as reported by News On AIR. NASSCOM and Zinnov's India GCC Landscape Report (May 2026) counts 2,117 GCCs in FY26.
The scale cuts both ways. It proves the model works, and it means a new centre bids against established GCCs that pay above IT services rates and offer liquid stock. Firms comparing Singapore and India for a regional hub should also read our guide to building a Singapore team from India and our India, Singapore and Dubai comparison.
When India is not cheaper
For top-tier HFT and frontier AI talent, India is not a discount market. These people are priced globally, and the India seat has to compete with offers from London, Singapore, Hong Kong and US labs.
On SYTalent Market Data in our HFT and quant salaries in India benchmark, a fresher quantitative researcher or trader at a top India-based firm receives ₹90 lakh to ₹1.3 crore in first-year total cash, and a researcher with two to five years ₹1 crore to ₹2 crore. That is at or above the converted BLS median for financial and investment analysts.
The same holds for researchers with a frontier model record and proven heads of AI, whose alternative is a global lab or technology company paying in dollars and stock. For these roles, choose India for talent density, time zone or market access, not for a discount that will not appear at offer stage.
Our view
India remains the strongest location for building AI and FinTech engineering capacity at scale, and the saving on mid-level engineers and data scientists survives on-costs. Take the saving on the team, not the leader, and plan for the time cost. For pricing a specific hire, our AI talent search practice and FinTech practice run these searches with 65+ clients and a 50K+ talent network. More research sits in the Intelligence hub.
Sources
| Source | Publisher | Date |
|---|---|---|
| Occupational Employment and Wages, May 2025 | US Bureau of Labor Statistics | 15 May 2026 |
| Occupational Outlook Handbook, occupation pages | US Bureau of Labor Statistics | Updated 27 August 2026 |
| Employee earnings in the UK: 2025 | Office for National Statistics | 23 October 2025 |
| Labour Force in Singapore Advance Release 2025 | Ministry of Manpower, Singapore | November 2025 |
| Occupational Wage Survey 2025, coverage and methodology | Ministry of Manpower, Singapore | 2025 |
| Handbook of Statistics on Indian Economy, Table 205 | Reserve Bank of India | 31 July 2026 |
| EPFO wage ceiling enhanced to ₹25,000 | Press Information Bureau | 23 September 2026 |
| Implementation of four Labour Codes | Press Information Bureau | 21 November 2025 |
| Topic no. 751 | Internal Revenue Service | 2026 |
| Contribution and benefit base | Social Security Administration | 2026 |
| Class 1 NICs changes from 6 April 2025 | HM Revenue and Customs | 2025 |
| CPF contribution rates and OW ceiling | Central Provident Fund Board | 2026 |
| FM remarks on GCCs | News On AIR | 10 July 2026 |
| India GCC Landscape Report 2026 | NASSCOM and Zinnov | May 2026 |
Common questions
How much cheaper is it to hire a software engineer in India than in the US?
The BLS median for US software developers was $135,980 in May 2025, about ₹1.29 crore at the RBI June 2026 average rate. SYTalent Market Data puts a mid-level fintech engineer in India at ₹26 lakh to ₹49 lakh in fixed pay and a senior or lead at ₹46 lakh to ₹85 lakh. The US figure is an occupation-wide median, not a like-for-like quote, and 7.65 per cent employer FICA widens the gap further.
What does an AI engineer cost in India compared with the US?
BLS has no separate code for AI engineers. The closest official proxy, computer and information research scientists, had a US median of $140,300 in May 2025, about ₹1.33 crore. On SYTalent Market Data, a fintech ML engineer in India costs ₹42 lakh to ₹72 lakh and a generalist AI engineer ₹18 lakh to ₹60 lakh. The discount narrows sharply for researchers with frontier model experience and for proven heads of AI, who are priced against global offers.
What are employer on-costs for hiring in India, the US, the UK and Singapore?
In India the main statutory cost is EPF at 12 per cent of wages, mandatory on a ₹25,000 monthly ceiling from 17 September 2026, plus gratuity. US employers pay 7.65 per cent FICA, with Social Security capped at $184,500 of 2026 wages. UK employers pay 15 per cent National Insurance above £5,000 a year from 6 April 2025. Singapore employers pay 17 per cent CPF for employees aged 55 and below, up to S$8,000 a month, for citizens and PRs.
Is it cheaper to hire in Singapore or India?
For engineering and data teams at scale, India is cheaper on salary. Singapore's median gross monthly income for full-time employed residents was S$5,775 in June 2025, including employer CPF, a whole-economy figure before any technology premium. Many firms run both: leadership and front office in Singapore, engineering depth in India. For HFT quants the gap is much smaller.
When is hiring in India not cheaper?
India is not cheaper for top-tier HFT quants and frontier AI talent, who are priced in a global market. On SYTalent Market Data, a fresher quant researcher at a top India-based trading firm receives ₹90 lakh to ₹1.3 crore in first-year total cash. Proven heads of AI and researchers with a frontier model record weigh offers from global labs. For those roles, choose India for talent density, time zone and market access, not for a salary discount.
How long does it take to hire a senior AI or FinTech professional in India?
Plan for the search, the notice period and the ramp together. Notice periods of 60 to 90 days are common in Indian technology employment, so a candidate who accepts today often joins a quarter later, and counteroffers arrive during that window. Domain ramp-up in regulated fintech or trading adds more, so plan in months, not weeks.
Pricing a specific team or a senior AI or FinTech hire in India against an alternative location? Tell us the roles, the scope and the timeline, and a partner who runs these searches will give you a view on cost and time to close. Discuss a hiring requirement.