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Capital Markets

Technology

Capital Markets participants will need to adopt three key technology approaches:

Digital-first for the new normal digital experiences and straight-through processing.

Cloud-first for operational efficiency and time-to-market gains. 

API-first for effective ecosystem collaboration. 

This will be supported by significant investment in Data, Analytics, AI & Automation, Neworking and Security.  

Business Applications

Fragmentation and resulting complexity has developed in Capital Markets over many years, as new systems were bolted onto existing architecture, or processes developed without standards. This has created today’s significant requirement for manual processing, copying and reconciling of data between systems and firms. 

To achieve straight-through processing Capital Markets players are looking to re-platform applications in the cloud, introduce SaaS applications, or to create an API environment to surround legacy applications to allow modern digital platforms to be introduced. 

Containerisation of legacy applications will be a necessary step in the large-scale migration of workloads to public cloud and allow workloads to shift across a hybrid multi-cloud architecture.

Data, Analytics, AI & Automation

The volume and diversity of data is changing rapidly and is at the heart of Capital Markets.

Data lake architectures are allowing a combination of structured and unstructured data types to be brought together and mined for risk and opportunity. “Exotic” datasets, including the use of satellite imagery,  Internet-of-things data, and freight and customs data are increasingly being used to gain an edge in today’s advisory-focused and insight-led market.

The application of natural language processing (NLP) is also helping asset managers process vast amounts of information — for example by automating the ingestion and analysis of public filings. Machine learning is used to crunch historical trading decisions and recognise behaviour patterns.   77% of EIU respondents agree that unlocking value from AI will be a key differentiator [1]. 

Automation and robotics is being built into trading, clearing & settlement operations to lower staff costs and reduce the incidence of errors. Fewer than 20% have achieved enterprise-wide robotic process automation (RPA) [2]. McKinsey estimates the cost reduction from automation at scale can reach 20% [3].

Distributed Leger Technology (DLT) may be used to transfer common trade data between all participants so that Straight-Through Processing (i.e. requiring no human intervention) can be fully achieved between firms end-to-end. Firms will be able to settle transactions and processing more efficiently because all market participants will have access to the same data and real-time updates. However, challenges exist in the wider network adoption of DLT, notably limitations in the latency and scalability of the underlying technology to deliver industry-wide solutions. 

Compute & Cloud

By their very nature digital platforms leverage hyperscale infrastructure from cloud providers in computing, data storage and security to deliver scale, reliability and customer experience. Capital Markets players were slow to adopt cloud due to security and regulatory concerns, but adoption is now growing fast. Nasdaq is moving its 28 markets in North America and Europe to the public cloud over the next decade and already has it's data warehouse on Amazon Web Services (AWS) [1]. Refinitiv has signed a partnership agreement with Microsoft which will see its new products and go-to-market services powered by the tech giant’s Azure cloud [2].

There will be a major shift toward cloud as the primary venue for workloads over the next few years, with public cloud IaaS and PaaS serving as the primary environment for  workloads. A 2022 survey suggests that 15% of workloads have migrated to the cloud, up from 8% in 2021 [3]. 44% cited the main benefit of adopting cloud as being the enhanced ability to automate processes, while 40% cited the enhanced ability to develop new products and services [4] Security & Compliance risk, Legacy infrastructure, complexity of change and lack of cloud skills are the main barriers to further adoption. 

Multi-cloud architectures are seen as key to delivering agility, cost and performance while addressing security and compliance challenges. Eventually, container-driven application portability in a hybrid or multi-cloud IT architecture will enable the multi-directional movement of workloads to best execution venues on an ongoing basis for optimisation of cost and application performance. Unsurprisingly, 81% believe a multi-cloud strategy will become a regulatory prerequisite after several years of regulatory focus on cloud technologies in the UK and the US [5]. Skill shortages are key inhibitor with banks seeking cloud platform, security and machine learning expertise.

Networking & Communications

Low latency network access to liquidity venues has been key to high frequency trading. Network resilience is also key for reliable trading.

Digital Workplace

Organisations must now provide a digitally enabled, flexible and collaborative working experience to attract and retain staff. They must also move beyond the fast reactions required to achieve a lockdown, where over 70% worked from home [1], and deliver an ongoing hyrbid working environment.

A modern collaborative digital workplace is critical to a remotely located workforce. It ranges from access to HR applications and core business applications to e-mail, instant messaging and enterprise social media tools and virtual meeting tools.

Internet of Things & Industry 4.0

 

Limited scope in Capital Markets.

Security, Compliance & Data Privacy

Security especially with data breaches is high priority issue. Consumers and businesses  expect banks to operate at a very high level of security and privacy, this includes identity management, data security, privacy management and cybersecurity.

Delivering this across a hybrid cloud and remote working environment is challenging given the ever-increasing number of attack surfaces. Most banks will spend at least 10% of their total budget on cybersecurity [1]. A considerable portion will go to cloud security, reflecting the shift to cloud-based business models.

In 2021, 63% of financial institutions experienced an increase in destructive attacks, an increase of 17% from the previous year [2]. In 2022, Akamai Security Research observed a colossal 3.5x growth in web application and API attacks against financial services. In 2022, DDoS targets increased by 22% in the financial services industry [3]. Most recently the European Banking Authority (EBA) had to shut down its entire email system after an attack on its Microsoft Exchange servers.

According to IBM’s Cost of a Data Breach 2022 report, data breaches against financial services, which is considered “critical infrastructure,” has an average cost of $5.97 million, about 75% more than the similar costs for other organizations [4].   

Blockchain offers the essential capability to store data in a tamper proof manner while making it accessible among various stakeholders. It provides transparency and data traceability while preventing fraud at the same time. Current security concerns include the risks associated with attempts to manipulate a ledger, and to introduce fraudulent data, and with cyber-attacks threatening the integrity and availability of a platform. 

IT Governance & Management

Globally, banks are spending between 15% to to 30% of their operating costs on IT to transform their operations and reduce costs [1]. However as much as 80% goes on maintenance leaving a limited amount for innovation [2]. In a period of intense digital transformation the effective management of Dev/Ops is crucial in delivering the desired change and ensuring operational resilience.

Effective management of IT assets and licences over their lifecycle is essential to good cost management.