Once considered a niche research area, quantum computing may find its way into financial institutions sooner than we think.
Many experts predict seeing a fully fault-tolerant quantum computer by 2035. Should that happen, McKinsey estimates quantum computing could create US$622 billion ($798 billion) in value for the finance industry if utilised to improve existing processes and for transformative use cases.
“Due to rapid tech advancements, it may not be long till quantum computing becomes mainstream, marking a paradigm shift from classical or conventional computing. OCBC has been taking various steps to ensure we’re ready to capitalise on that shift,” says Praveen Raina, head of group operations and technology at Oversea-Chinese Banking Corporation (OCBC).
Safeguarding the bank and its customers
Quantum computing is believed to be revolutionary. It uses the laws of quantum mechanics to explore many paths in parallel through superposition, enabling it to deliver a range of possible answers faster than a classical computer.
Quantum computing could revolutionise portfolio and risk management. For example, quantum-optimised loan portfolios focusing on collateral could allow lenders to improve their offerings, potentially leading to lower interest rates and freed-up capital. Beyond commonly mentioned use cases like portfolio optimisation, quantum computing could revolutionise areas such as trade finance and collateral optimisation in corporate banking due to the high monetary value and complexity involved.
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Similarly, they also have the potential to break cryptographic encryption, which poses a major cybersecurity concern. “Quantum computers can break those keys easily due to their superior computational power. This is why we’re actively exploring the applications of quantum computing in the area of cryptography to safeguard customer data against imminent future quantum attacks,” states Raina.
Since the start of this year, OCBC has been working on Quantum Security solutions, such as Post Quantum Cryptography (PQC) and Quantum Key Distribution (QKD), with various ecosystem partners such as institutions of higher learning, regulators and private sectors.
For instance, OCBC is collaborating with the Monetary Authority of Singapore (MAS) and other banks to experiment with QKD solutions. The collaboration supports the advisory MAS issued in February 2024 that warns financial institutions about cybersecurity risks associated with quantum technology and offers guidance on mitigating the identified risks.
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PQC and QKD are currently the primary methods for quantum safe communication to elevate cyber defence posture. PQC algorithms are classical cryptographic techniques designed to be computationally challenging for quantum computers to crack. QKD is hardware-focused and uses quantum mechanics principles to establish secure communication channels and ensure no interceptions of the exchange of encryption keys or eavesdropping.
Raina shares that beyond cybersecurity, OCBC is also experimenting with quantum computing to elevate risk management and derivative pricing, among other use cases.
Supercharging AI
The convergence of quantum computing and artificial intelligence (AI) will lead to transformational changes. There is a symbiotic relationship between quantum computing and AI, whereby quantum computing can rapidly process extensive data sets, driving enhanced computational power, parallel processing, and more efficient problem-solving. It can also be leveraged for quantum machine learning (QML), accelerating AI’s learning processes. Similarly, AI can be also used to drive enhancements in quantum computing through error correction, noise reduction, quantum algorithm design and optimisation, simulation and emulation. OCBC hopes quantum computing will further improve AI capabilities to enhance operational efficiency and contribute to higher levels of customer service.
“AI is not new to us; we’ve been on our AI journey since 2016. But with the advent of generative AI (GenAI), we have been pushing boundaries further. Today, we’re running more than 300 AI models offering personalised financial advice, providing seamless and intuitive customer experiences, and optimising operational efficiency,” states Raina.
More than five million decisions – in the areas of risk management, customer service and sales – are currently made by AI in OCBC daily. This is projected to increase to 10 million by 2025. For instance, the bank has AI models that quickly analyse customer profiles and networks to identify customers who are more susceptible to scams.
“[Recognising its importance,] OCBC has a governance structure to scale AI without stifling innovation so that employees can continue experimenting with AI in various ways,” says Raina.
Whilst the utility and benefits of AI are extensive, there is also a need to be aware of the potential risks associated with it. The issues are well-documented: ‘hallucinations’ (GenAI models providing inaccurate answers), ethical/reputational risks, risks of promoting inequality, ascribing intentions, and data security frauds, to name a few. Addressing concerns around AI ethics, OCBC has put up guardrails to prevent GenAI from generating false information. This includes having its own LLM evaluation framework to test models before putting them into production and using large language models (LLMs) to check other LLMs to ensure the accuracy of their results.
Building a quantum-ready workforce
To start tapping and extracting the full value of technologies such as quantum or AI, talent in these areas needs to be built.
According to LinkedIn’s data, the competencies required for all jobs will change by 68% by 2030 due to the rapid rise of AI. To help its employees remain relevant, OCBC announced in 2023 that it would invest $30 million over three years in skills development, which builds on the bank’s earlier $50 million investment from 2018 to 2023.
Initiatives targeted at staff include an internal coaching certification programme, skills portfolio workshops, and a Data Certification Pathway to groom data professionals in-house through 12-month to 18-month training. Moreover, OCBC’s employees can leverage an AI-powered career marketplace to assess their current skills, explore internal job opportunities, and identify the skills needed to advance within the bank.
Similarly, OCBC has taken the initiative to upskill staff on quantum through structured training programmes in partnership with institutions of higher learning and the private sector. Over the next two to three years, the bank targets tripling the number of staff with an intermediate proficiency level in quantum technology.
To deliver a truly seamless and intuitive customer experience, OCBC aims to put a lifelike AI voice assistant, like in the movie Her, in every customer’s pocket through its mobile banking app. “This is the common vision for the moonshot AI projects we’re working on. It’s a big goal, so we’re breaking it into small steps and getting more employees involved because we believe a bottom-up approach fosters better innovation and employee engagement than a top-down approach,” Raina shares.
One way the bank is encouraging bottom-up innovation is through the quarterly “Deal or No Deal” innovation contest. Employees can form groups (even with colleagues from a different department or country and even those without any technology background) and submit their ideas on how AI and other emerging technologies can help improve an existing process or tackle an issue in a new way. A panel of internal judges will then decide on the best idea to be developed and put into production.
Launched in January 2023, close to 60 ideas have been collected from employees. Some of the ideas received include an automated portfolio review tool that can save over 80,000 man-hours a year, a hyper personalised commentary generated by LLMs, and smart lighting focused on cutting carbon emissions through IoT-enabled devices.
Raina adds that the bank’s IT staff gets one day a month to learn new technical or specialised skills. He explains: “This gives them dedicated time for training and empowers them to own their skills development. We’ll provide the licences to tech tools and online learning platforms like Udemy so they can choose what they want to learn. To ensure accountability, their manager will have visibility on the topic they’ve learnt, and they are expected to apply the new skills to their work.”
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Future-proofing the bank in a sustainable way
OCBC anticipates heavy usage of power-hungry AI and quantum computing in its operations and is constantly exploring ways to do so more sustainably. Currently, its data centre in Singapore not only received the BCA-IMDA Green Mark Platinum Award but is also 30% more energy-efficient, emitting 9.6 million kg less CO2 emissions than the standard data centre in Southeast Asia.
The bank, Raina adds, is partnering with like-minded institutions for quantum computing as it is still a nascent area. “We have an internal task force that focuses solely on quantum computing, and they are prototyping with different organisations (including other financial institutions), the government and universities [to tap on collective intelligence].”
Singapore’s government will also invest close to $300 million over the next five years to fuel quantum technology research and talent development. Specifically, this funding will focus on four areas: scientific studies, talent, enterprise, and engineering capabilities. This is very much in line with global trends of public investment in quantum computing, which totalled around US$42 billion as of 2023 and is only set to continue growing.
To further cement its commitment to innovation and customer-centricity, OCBC will invest about $500 million in the Punggol Digital District. The funds will be used for a strategic partnership with the Singapore Institute of Technology and a new innovation hub expected to be completed in the first quarter of 2027. Called OCBC Punggol, the 430,000 sq ft innovation hub will house up to 4,000 employees, with the majority from the tech teams working on emerging technologies such as quantum computing and mixed reality.
Some ways OCBC is leveraging generative AI to improve productivity and efficiency
- OCBC Wingman — A coding assistant that automatically generates, debugs and optimises computer code to accelerate software development times by 20%.
- OCBC Whisper — Speech-to-text tool that can analyse all sales calls with customers to automatically identify potential anomalies in the sales process. The bank’s contact centre also leverages Whisper to transcribe and summarise calls in near real-time.
- OCBC Buddy — A GenAI powered knowledge assistant chatbot that helps employees get quick answers on OCBC information, such as company policies and procedures, acronyms and annual leave.
- Document AI — Extracts and summarises key information from lengthy documents (like financial and sustainability reports) in seconds through a drag-and-drop process.
The bank is also using other forms of AI to deliver more value to its customers. One example is OCBC Securities’ Customer Artificial Intelligence Radar (A.I. Oscar), which can predict stock price movements and generate hyper-personalised stock ideas.
A.I. Oscar uses deep learning algorithms to identify and predict market patterns to thoroughly understand an investor’s trading patterns. It analyses factors such as the individual’s risk appetite, past trading activity, and demographic information to curate and produce a list of 15 hyper-personalised stocks every week from exchanges in Singapore, Hong Kong, and the US. This allows investors to filter stocks that are highly likely to meet their trading preferences and criteria and immediately act on the idea by making a trade.
Photo: OCBC Securities
According to OCBC Securities, trading activity among young investors under 35 increased by 50% during the pilot period of A.I. Oscar in 2023. It aims to triple the total number of active customers in this segment over the next three years by leveraging A.I. Oscar’s unique proposition.