Tell Us About Your Current Role and Your Career
Currently, my primary role is that of CTO for Avid AML. At this point, that means actively designing and building Avid's core platform, as well as planning for its longer-term needs.
A small amount of my time is still committed to running Propellerhead, a software services business specialising in enterprise solutions. Prior to joining Avid AML I dedicated 20 years to growing and guiding Propellerhead to the point where the company could act as a self-managing entity.
Over this time we have delivered large-scale solutions for Auckland Transport, Spark, MYOB, government agencies such as the Ministry of Education, NZ Post, and NZ Customs.
My focus has always been on the challenge of delivering reliable, secure software at scale. This type of work demands we operate at our technical best and be extremely well honed in our delivery practices.
What is the Most Rewarding Part of Your Role?
One of the aspects I am finding most rewarding with Avid is the challenge to craft a platform that will scale and is sufficiently reliable to meet the needs of a global user base. It demands my full focus and builds on my many years of working to solve similar issues. One big difference these days is the ready availability of very "serious" open source technologies that we can employ to help us create an enterprise-grade platform right from the start.
For instance, Google has made Istio, their service mesh technology, available for organisations like ours to use to deliver microservices within a "trustless" architecture. Just a few years ago this approach would only have been available to large, well-resourced organisations. We are also able to achieve immediate scale in data analytics using cloud-based services from Elasticsearch (Elastic Cloud) and MongoDB (Atlas).
While the technologies themselves are cool, it's even more exciting to see them being assembled to create a platform that has a "whole of customer" approach to anti-money laundering (AML). That is, the technology has made it far easier to integrate aspects of anti-money laundering components like electronic identification, watchlist screening, nature and purpose risk profiling and transaction monitoring that have previously been met by separate, not well connected, software systems.
What Made You Interested in the RegTech Industry and AML/CFT?
First and foremost, I like the technical challenge of working on a regtech solution with global ambitions. It has a mix of challenges I personally find invigorating; it has to scale, it must be secure — our clients need to know their data is well protected, and it has to be "smart" — we should be able to help our users detect fraudulent or risky behaviour in their customer base.
Technology aside, I also like to think I can contribute to a fairer world — one that sees a more just distribution of wealth, less corruption, and less harm from criminal activity. If I step back a little it is easy to see how we might contribute to such things as reducing tax avoidance and helping in the detection of human trafficking. I love the fact that we can use technology for good in this way.
Interleaved amongst all of this is the ability to use more recent advances in technology to lower the overall cost of solutions such as ours. It means we can create solutions that are both powerful and affordable. One of our primary objectives is to put anti-money laundering software into the hands of those that might not otherwise have had access to such software.
What Technology Trends do You See Playing Out in AML?
At the top end of the market — banks and large financial institutions — there is an increasing trend away from pure rules-based systems toward employing AI to detect and flag risky behaviour. In an increasingly sophisticated digital world, deterministic rules are no longer sufficient to detect bad actors. They can employ technology to open up a greater number of "entry points" into financial systems than we have the resources to manage. Entry points can range from traditional financial transactions to prepaid debit cards to the trade in crypto assets such as nonfungible tokens (NFTs).
Machine learning has the ability to help evolve anomaly detection simply by identifying unusual patterns of behaviour in the data. This approach alone won't be sufficient to filter out bad actors — the complexity and nuances of transaction context will typically require human judgement to make a final determination.
So, we can think of AI as a decision support tool — it will be useful for analysing data at scale, reducing noise, and flagging risky transactions for further investigation by a human.
Automation, and AI in particular, will also play an increasingly important role in customer due diligence. There is a broad spectrum of incorporating everything from natural language processing of publicly available documents, to automatic profiling based on online "fingerprints" (LinkedIn, social media, etc.) to digital identity verification. Again, at this stage AI enhances rather than replaces a human's judgement.
At this early point in Avid's history, our focus is on clever use of technology to lower the cost of compliance for small to medium organisations around the world. Our view is that straightforward tools can help organisations come to grips with anti-money laundering / countering the financing of terrorism legislation, freeing up time and energy to focus on their core business.
Our Near Term Road Map
Advanced analytical tools for fraud detection
Nature and purpose with ultimate beneficial ownership to comply with current regulatory trends
Relationship graphing to show connections between entities and related parties
Tools that support investigation and reporting
"Technology should be seen as an integral part of regulatory compliance. It automates and simplifies processes and reduces the cost of compliance."
Key Things People Forget or do not Understand when it comes to AML/CFT
Knowing your customer can’t be achieved in a siloed environment. Verifying identification, or completing watch-list screening, or monitoring transactions only tells part of the customer story. If the objective is to protect against fraud, human trafficking, modern day slavery and tax avoidance then we need to see a ‘whole of customer view’.
That undertaking can not be achieved without technology - it isn’t possible for this information to be collated, analysed or presented without technology (e.g. searching for politically exposed persons, adverse media, associates or sanctions would take weeks to get an accurate response).
Keep reading about 'Technology in AML' with Daniel Rogers or take a look at some of our feature pieces with experts in the AML industry from 'The Dark Shadow of the Regulatory Creep' to 'The World of Cryptocurrency'.