Saif
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Banking in the 2030s
Banking is going through a rapid global transformation unlike anything seen before. Large international banks are shifting from retail banking to wealth management.
Banking in the 2030s
Banking is going through a rapid global transformation unlike anything seen before. Large international banks are shifting from retail banking to wealth management. In recent years, large global banks such as Citi and HSBC have exited retail banking in many markets and focused instead on wealth management and private banking in major wealth hubs, including Hong Kong, Singapore, the UAE, the UK and the US.
Their attention is now on clients at the top tier of the wealth pyramid, offering curated services such as wealth and investment advice and legacy planning. These are delivered through experienced bankers and mobile apps. They are also earning higher fee income by acting as sales agents for structured investment products issued by other banks and financial institutions. Although banks hold vast amounts of data on consumer spending patterns, they rarely use this data to offer tailored solutions. This remains a clear opportunity for banks to differentiate themselves by personalising services based on client spending behaviour.
Global banks are also moving into the field of digital currencies. Domestic payments in most countries are already digital to varying degrees. The challenge lies in cross-border payments, which are affected by differing regulations and time zones. Tokenised money could reshape this space, whether through central bank digital currencies, stablecoins, or bank-issued tokenised deposits. This presents an opportunity for our central bank and local banks to work with counterparts abroad to speed up the inflow of remittances.
The UAE recently introduced the "Jisr" platform, bringing together Emirati and Chinese banks to carry out the first cross-border payment between the UAE and China using digital currencies issued by central banks. As the UAE is one of the largest sources of remittances for Bangladesh, this is a significant opportunity. Interlinking instant payment systems across borders, as the UAE has done with China, could transform cross-border transfers.
Global banks are already deploying generative AI and investing in agentic AI. Many banking processes remain highly manual despite years of technology investment. Client onboarding and AML or KYC checks are examples. AI can pre-fill account opening forms, and clients can complete the rest on their device. Connectivity with NID and NBR servers can allow real-time identity verification and automated collection of tax documents.
Credit appraisal and portfolio reviews are also heavily manual. With AI, banks can automate credit scoring for retail and small business clients. Instead of rushing to assess portfolios during adverse or black swan events, banks can use AI to receive early warnings about deteriorating conditions in a client's environment. Another potential area is sales and client relationship management. While many banks use CRM platforms to track clients, AI can enhance this data by identifying cross-selling opportunities and highlighting promising prospective clients.
In future, clients will rely on their own AI agents to engage with banks and support financial and investment decisions. Banks that prepare for these emerging global trends and invest in them now will lead the market in the next decade.
The writer worked as a senior executive at global banks in Bangladesh and Singapore
Banking is going through a rapid global transformation unlike anything seen before. Large international banks are shifting from retail banking to wealth management. In recent years, large global banks such as Citi and HSBC have exited retail banking in many markets and focused instead on wealth management and private banking in major wealth hubs, including Hong Kong, Singapore, the UAE, the UK and the US.
Their attention is now on clients at the top tier of the wealth pyramid, offering curated services such as wealth and investment advice and legacy planning. These are delivered through experienced bankers and mobile apps. They are also earning higher fee income by acting as sales agents for structured investment products issued by other banks and financial institutions. Although banks hold vast amounts of data on consumer spending patterns, they rarely use this data to offer tailored solutions. This remains a clear opportunity for banks to differentiate themselves by personalising services based on client spending behaviour.
Global banks are also moving into the field of digital currencies. Domestic payments in most countries are already digital to varying degrees. The challenge lies in cross-border payments, which are affected by differing regulations and time zones. Tokenised money could reshape this space, whether through central bank digital currencies, stablecoins, or bank-issued tokenised deposits. This presents an opportunity for our central bank and local banks to work with counterparts abroad to speed up the inflow of remittances.
The UAE recently introduced the "Jisr" platform, bringing together Emirati and Chinese banks to carry out the first cross-border payment between the UAE and China using digital currencies issued by central banks. As the UAE is one of the largest sources of remittances for Bangladesh, this is a significant opportunity. Interlinking instant payment systems across borders, as the UAE has done with China, could transform cross-border transfers.
Global banks are already deploying generative AI and investing in agentic AI. Many banking processes remain highly manual despite years of technology investment. Client onboarding and AML or KYC checks are examples. AI can pre-fill account opening forms, and clients can complete the rest on their device. Connectivity with NID and NBR servers can allow real-time identity verification and automated collection of tax documents.
Credit appraisal and portfolio reviews are also heavily manual. With AI, banks can automate credit scoring for retail and small business clients. Instead of rushing to assess portfolios during adverse or black swan events, banks can use AI to receive early warnings about deteriorating conditions in a client's environment. Another potential area is sales and client relationship management. While many banks use CRM platforms to track clients, AI can enhance this data by identifying cross-selling opportunities and highlighting promising prospective clients.
In future, clients will rely on their own AI agents to engage with banks and support financial and investment decisions. Banks that prepare for these emerging global trends and invest in them now will lead the market in the next decade.
The writer worked as a senior executive at global banks in Bangladesh and Singapore
































