Skip to main content

Uniting Forces: A Holistic Approach to Financial Crime


Financial institutions face increasing challenges in combating financial crime. While technology has significantly advanced (e.g. thanks to AI), the methods employed by criminals have also evolved, becoming more sophisticated and harder to detect. One of the crucial challenges in this battle is the siloed approach to detecting and combating financial crime. Financial crime information is rarely shared between banks and even within various departments of a single bank, such as cybersecurity, risk, compliance, fraud, operations, and customer support. Despite these departments common goal of reducing financial crime, each department focuses on different aspects. For example, cybersecurity teams focus on protecting the bank’s digital infrastructure, compliance ensures regulatory adherence, and fraud teams detect and prevent fraudulent activities. Consequently, these departments often do not share information, leading to missed opportunities to identify and mitigate risks.

A centralized database acting as a runway for all teams to seamlessly access and contribute relevant customer information and context can significantly improve detection and prevention efforts. By integrating knowledge from various departments, banks can create a comprehensive risk scoring system that provides a full picture of each transaction, considering factors such as:

  • KYC Scoring: Evaluating the customer’s identity and background.

  • Sanction Screening: Checking transactions against global sanction lists.

  • AML Scoring: Monitoring for money laundering activities.

  • Verification of Payee Scoring: Ensuring the name of the creditor matches the bank account number.

  • Fraud Scoring: Assessing the likelihood of fraudulent activity based on payment details, IP address, payment history, merchant credibility, geo-location, etc.

  • Authentication Scoring: Verifying the user’s authentication through the channel, IP address, and authentication method used. This scoring can also consider the user’s behavior on the channel prior to initiating the transaction.

  • Business Application Monitoring Scoring: Detecting anomalies in the transaction flow to capture internal fraud. This can be done by identifying attributes that change over the transaction lifecycle or deviating statistical trends, both indicating potential internal fraud.

Combining these elements into a single, holistic overview allows for more accurate and timely decision-making, significantly enhancing the bank’s ability to combat financial crime.

Beyond these internal silos, there is also a reluctance of banks to share information on financial crime with other financial institutions and external entities. This reluctance stems from various concerns, including competitive advantage, exposure of procedural weaknesses, resource allocation, and data privacy issues. However, effective financial crime prevention requires cross-functional collaboration, not just within an institution but also with external partners and other financial institutions (both national as international).

This cooperation is however difficult to accomplish in real-time. Therefore it can be required to add some friction. While friction in the payment process can be perceived negatively by customers, it is sometimes necessary to ensure security. For instance, the UK is considering adding up to a three-day delay to instant payments if fraud is suspected. Although this could impact customer experience, it provides a critical window for banks to verify the legitimacy of transactions.

During this period, the sending bank can contact the customer to confirm authorization, potentially preventing fraud. If fraud is detected, the sending bank can reach out to the recipient bank for more information about the recipient, such as how long they have been a customer and when the last Enhanced Due Diligence (EDD) was conducted. Multiple inquiries about a recipient can also serve as a red flag, prompting further investigation by the recipient bank.

By adopting a holistic approach that integrates insights from various departments and encourages collaboration within and beyond the institution, banks can enhance their ability to detect, prevent, and respond to financial crime. While some measures may introduce minor delays in transactions, the long-term benefits of improved security and reduced fraud outweigh the temporary inconveniences. It’s time for the financial industry to embrace shared intelligence and work together to safeguard the global financial system.

Comments

Popular posts from this blog

Transforming the insurance sector to an Open API Ecosystem

1. Introduction "Open" has recently become a new buzzword in the financial services industry, i.e.   open data, open APIs, Open Banking, Open Insurance …​, but what does this new buzzword really mean? "Open" refers to the capability of companies to expose their services to the outside world, so that   external partners or even competitors   can use these services to bring added value to their customers. This trend is made possible by the technological evolution of   open APIs (Application Programming Interfaces), which are the   digital ports making this communication possible. Together companies, interconnected through open APIs, form a true   API ecosystem , offering best-of-breed customer experience, by combining the digital services offered by multiple companies. In the   technology sector   this evolution has been ongoing for multiple years (think about the travelling sector, allowing you to book any hotel online). An excelle...

Are product silos in a bank inevitable?

Silo thinking   is often frowned upon in the industry. It is often a synonym for bureaucratic processes and politics and in almost every article describing the threats of new innovative Fintech players on the banking industry, the strong bank product silos are put forward as one of the main blockages why incumbent banks are not able to (quickly) react to the changing customer expectations. Customers want solutions to their problems   and do not want to be bothered about the internal organisation of their bank. Most banks are however organized by product domain (daily banking, investments and lending) and by customer segmentation (retail banking, private banking, SMEs and corporates). This division is reflected both at business and IT side and almost automatically leads to the creation of silos. It is however difficult to reorganize a bank without creating new silos or introducing other types of issues and inefficiencies. An organization is never ideal and needs to take a numbe...

RPA - The miracle solution for incumbent banks to bridge the automation gap with neo-banks?

Hypes and marketing buzz words are strongly present in the IT landscape. Often these are existing concepts, which have evolved technologically and are then renamed to a new term, as if it were a brand new technology or concept. If you want to understand and assess these new trends, it is important to   reduce the concepts to their essence and compare them with existing technologies , e.g. Integration (middleware) software   ensures that 2 separate applications or components can be integrated in an easy way. Of course, there is a huge evolution in the protocols, volumes of exchanged data, scalability, performance…​, but in essence the problem remains the same. Nonetheless, there have been multiple terms for integration software such as ETL, ESB, EAI, SOA, Service Mesh…​ Data storage software   ensures that data is stored in such a way that data is not lost and that there is some kind guaranteed consistency, maximum availability and scalability, easy retrieval...

IoT - Revolution or Evolution in the Financial Services Industry

1. The IoT hype We have all heard about the   "Internet of Things" (IoT)   as this revolutionary new technology, which will radically change our lives. But is it really such a revolution and will it really have an impact on the Financial Services Industry? To refresh our memory, the Internet of Things (IoT) refers to any   object , which is able to   collect data and communicate and share this information (like condition, geolocation…​)   over the internet . This communication will often occur between 2 objects (i.e. not involving any human), which is often referred to as Machine-to-Machine (M2M) communication. Well known examples are home thermostats, home security systems, fitness and health monitors, wearables…​ This all seems futuristic, but   smartphones, tablets and smartwatches   can also be considered as IoT devices. More importantly, beside these futuristic visions of IoT, the smartphone will most likely continue to be the cent...

PSD3: The Next Phase in Europe’s Payment Services Regulation

With the successful rollout of PSD2, the European Union (EU) continues to advance innovation in the payments domain through the anticipated introduction of the   Payment Services Directive 3 (PSD3) . On June 28, 2023, the European Commission published a draft proposal for PSD3 and the   Payment Services Regulation (PSR) . The finalized versions of this directive and associated regulation are expected to be available by late 2024, although some predictions suggest a more likely timeline of Q2 or Q3 2025. Given that member states are typically granted an 18-month transition period, PSD3 is expected to come into effect sometime in 2026. Notably, the Commission has introduced a regulation (PSR) alongside the PSD3 directive, ensuring more harmonization across member states as regulations are immediately effective and do not require national implementation, unlike directives. PSD3 shares the same objectives as PSD2, i.e.   increasing competition in the payments landscape and en...

Trade-offs Are Inevitable in Software Delivery - Remember the CAP Theorem

In the world of financial services, the integrity of data systems is fundamentally reliant on   non-functional requirements (NFRs)   such as reliability and security. Despite their importance, NFRs often receive secondary consideration during project scoping, typically being reduced to a generic checklist aimed more at compliance than at genuine functionality. Regrettably, these initial NFRs are seldom met after delivery, which does not usually prevent deployment to production due to the vague and unrealistic nature of the original specifications. This common scenario results in significant end-user frustration as the system does not perform as expected, often being less stable or slower than anticipated. This situation underscores the need for   better education on how to articulate and define NFRs , i.e. demanding only what is truly necessary and feasible within the given budget. Early and transparent discussions can lead to system architecture being tailored more close...

Low- and No-code platforms - Will IT developers soon be out of a job?

“ The future of coding is no coding at all ” - Chris Wanstrath (CEO at GitHub). Mid May I posted a blog on RPA (Robotic Process Automation -   https://bankloch.blogspot.com/2020/05/rpa-miracle-solution-for-incumbent.html ) on how this technology, promises the world to companies. A very similar story is found with low- and no-code platforms, which also promise that business people, with limited to no knowledge of IT, can create complex business applications. These   platforms originate , just as RPA tools,   from the growing demand for IT developments , while IT cannot keep up with the available capacity. As a result, an enormous gap between IT teams and business demands is created, which is often filled by shadow-IT departments, which extend the IT workforce and create business tools in Excel, Access, WordPress…​ Unfortunately these tools built in shadow-IT departments arrive very soon at their limits, as they don’t support the required non-functional requirements (like h...

An overview of 1-year blogging

Last week I published my   60th post   on my blog called   Bankloch   (a reference to "Banking" and my family name). The past year, I have published a blog on a weekly basis, providing my humble personal vision on the topics of Fintech, IT software delivery and mobility. This blogging has mainly been a   personal enrichment , as it forced me to dive deep into a number of different topics, not only in researching for content, but also in trying to identify trends, innovations and patterns into these topics. Furthermore it allowed me to have several very interesting conversations and discussions with passionate colleagues in the financial industry and to get more insights into the wonderful world of blogging and more general of digital marketing, exploring subjects and tools like: Search Engine Optimization (SEO) LinkedIn post optimization Google Search Console Google AdWorks Google Blogger Thinker360 Finextra …​ Clearly it is   not easy to get the necessary ...

The UPI Phenomenon: From Zero to 10 Billion

If there is one Indian innovation that has grabbed   global headlines , it is undoubtedly the instant payment system   UPI (Unified Payments Interface) . In August 2023, monthly UPI transactions exceeded an astounding 10 billion, marking a remarkable milestone for India’s payments ecosystem. No wonder that UPI has not only revolutionized transactions in India but has also gained international recognition for its remarkable growth. Launched in 2016 by the   National Payments Corporation of India (NPCI)   in collaboration with 21 member banks, UPI quickly became popular among consumers and businesses. In just a few years, it achieved   remarkable milestones : By August 2023, UPI recorded an unprecedented   10.58 billion transactions , with an impressive 50% year-on-year growth. This volume represented approximately   190 billion euros . In July 2023, the UPI network connected   473 different banks . UPI is projected to achieve a staggering   1 ...

AI in Financial Services - A buzzword that is here to stay!

In a few of my most recent blogs I tried to   demystify some of the buzzwords   (like blockchain, Low- and No-Code platforms, RPA…​), which are commonly used in the financial services industry. These buzzwords often entail interesting innovations, but contrary to their promise, they are not silver bullets solving any problem. Another such buzzword is   AI   (or also referred to as Machine Learning, Deep Learning, Enforced Learning…​ - the difference between those terms put aside). Again this term is also seriously hyped, creating unrealistic expectations, but contrary to many other buzzwords, this is something I truly believe will have a much larger impact on the financial services industry than many other buzzwords. This opinion is backed by a study of McKinsey and PWC indicating that 72% of company leaders consider that AI will be the most competitive advantage of the future and that this technology will be the most disruptive force in the decades to come. Deep Lea...