Stay ahead of MAS AI Risk Management Guidelines while cutting compliance costs — 82% of AI-adopting Singapore firms report measurable revenue gains.
Singapore's financial sector operates under one of the world's most sophisticated regulatory frameworks, with MAS proposing dedicated AI Risk Management Guidelines in 2025 and maintaining Technology Risk Management requirements for all banks, insurers, and capital market intermediaries. Singapore's AI market is projected to grow from US$1.05 billion in 2024 to US$4.64 billion by 2030. MAS has allocated an additional S$100 million specifically for AI and quantum capabilities in the financial sector. However, 83% of employers report critical IT talent shortages, with AI professionals commanding median salaries of S$133,300 — making it essential to upskill existing teams rather than relying solely on external hires. The SkillsFuture Enterprise Credit and Enhanced Training Support for SMEs provide substantial subsidies, making AI training one of the highest-ROI investments financial institutions can make in Singapore's current environment.
LOCAL CONTEXT
Singapore leads Southeast Asia in AI readiness, with a well-established Smart Nation initiative and mature digital infrastructure. Government-backed programmes like SkillsFuture and the Enterprise Development Grant make it one of the most accessible markets for AI adoption in the region.
$4.5 billion AI market by 2030
advanced
THE CHALLENGE
“MAS AI Risk Management compliance requirements”
“PDPA penalties threaten financial sector margins”
“Critical talent shortage inflating compliance costs”
“Cross-border regulatory complexity across ASEAN”
Our team has trained executives at globally-recognized brands
OUTCOMES
FUNDING & SUBSIDIES
Up to S$10,000 per employer (90% of out-of-pocket costs); fresh S$10,000 digital wallet in H2 2026
Offsets workforce transformation training costs for eligible employers
Official SourceUp to 90% course fee subsidies
Provides up to 90% course fee subsidies for qualifying SMEs (up to 200 employees or S$100 million turnover)
Official SourceVaries by programme
S$100 million allocated specifically for AI capabilities in the financial sector under National AI Strategy 2.0
Official SourceUp to 50% funding (typical cap ~S$30,000)
Funds pre-approved AI-enabled solutions for SMEs; expanded in 2025 for GenAI tools
Official SourceREGULATORY LANDSCAPE
MAS has proposed dedicated Guidelines on AI Risk Management for financial institutions in 2025 and maintains Technology Risk Management (TRM) guidelines requiring robust risk governance. The Personal Data Protection Act (PDPA) imposes financial penalties of up to 10% of an organisation's annual turnover in Singapore for organisations with annual local turnover exceeding S$10 million. AI Verify is IMDA's AI governance testing framework that helps organisations assess their AI systems against 11 internationally recognised AI governance principles covering areas such as transparency, fairness, explainability, and accountability.
CHALLENGES IN SINGAPORE
MAS proposed dedicated Guidelines on AI Risk Management in 2025, requiring financial institutions to demonstrate AI risk oversight and life cycle controls. Firms without structured AI governance face regulatory scrutiny during inspections and may be required to pause AI deployments until compliant frameworks are established.
The Personal Data Protection Act (PDPA) imposes financial penalties of up to 10% of an organisation's annual turnover in Singapore for organisations with annual local turnover exceeding S$10 million. For financial institutions processing millions of customer records, manual data handling without AI-assisted compliance monitoring significantly increases breach exposure and potential financial penalties.
Roughly 83% of Singaporean employers report a critical shortage of specialised IT talent, particularly in AI. The median annual salary for AI professionals reached S$133,300 in 2025, nearly double the national median of S$69,600. Financial institutions competing for AI and risk professionals face escalating costs, making it more economical to upskill existing compliance and risk teams than to recruit externally.
Singapore-based financial institutions operating across ASEAN must navigate MAS, OJK, BNM, and BSP requirements simultaneously. With Singapore's digital economy at S$128.1 billion (18.6% of GDP), the volume of cross-border digital transactions requiring regulatory compliance grows faster than manual oversight can handle.
OUR PROCESS
We assess your current AI maturity, regulatory environment, technology stack, and strategic priorities. This includes interviews with risk, compliance, operations, and business leaders to map your highest-impact use cases.
We tailor modules to your specific sub-sector (banking, insurance, asset management, fintech), regulatory jurisdiction, and team composition. All examples, case studies, and exercises use financial services scenarios your teams will recognise.
Interactive workshops using real-world financial services data sets (anonymised), regulatory scenarios, and industry tools. Each module combines concept explanation with immediate practice on tasks your teams perform daily.
Participants develop 2-3 AI use case proposals specific to their departments, with business cases, risk assessments, and implementation roadmaps — ready for leadership review.
30-day post-programme support includes office hours, Slack access, implementation coaching, and a follow-up session to review progress on use case pilots and address emerging challenges.
IS THIS RIGHT FOR YOU?
Banks, insurers, and asset managers with 50+ employees seeking structured AI adoption
Financial institutions facing regulatory pressure to modernise risk and compliance operations
Regional financial groups wanting consistent AI capability across multiple markets
Fintech companies scaling operations and needing AI-literate teams
Financial services firms that tried generic AI training and found it too disconnected from their reality
Individual learners (this is a team programme — try our AI Readiness Fundamentals instead)
Organisations looking to build custom AI models from scratch (try our Engineering tier)
Financial services firms already running AI at scale across departments (try our Enterprise Transformation offering)
See yourself above? Let's talk about AI for Banking & Financial Services Teams in Singapore.
Let's TalkCOMMON QUESTIONS
MORE TRAINING
WHY PERTAMA PARTNERS
Unlike generic AI training providers, Pertama Partners delivers financial-services-specific AI training aligned with MAS regulatory requirements and FEAT principles. Our Southeast Asia expertise means we understand Singapore's multi-regulator compliance landscape, and our programmes are designed for the hierarchical, data-driven procurement culture where government endorsement and structured ROI evidence drive vendor selection.
Delivered in English, Singapore's primary business language. Programme materials reference Singapore-specific regulations and use local case studies. Training adapted for regulated industry contexts with compliance-integrated exercises. Separate executive briefings available for leadership buy-in alongside hands-on practitioner labs. Singapore's data-driven business culture values measurable outcomes — all exercises include ROI tracking frameworks.
Let's discuss how ai for banking & financial services teams can help your organization in Singapore.
Start a Conversation