How one grad found purpose in financial crime fighting

Submitting a master’s dissertation is supposed to feel like a finish line. For one graduate, it felt more like standing at the edge of a cliff. That is the experience described in a personal essay published by Napier AI, a RegTech firm specialising in AML compliance technology.

The author, armed with an undergraduate degree in English Literature and Philosophy, a Graduate Diploma in Legal Studies, and a Master of Laws in Law & Technology from Queen’s University Belfast, graduated in 2024 to find the job market far less welcoming than their CV might have suggested.

The search was gruelling. Applications for paralegal positions, legal tech roles, and technical writing jobs returned little but rejection. One particularly dispiriting episode saw the candidate survive six rounds of interviews for a FinTech paralegal role, advance to the final three, and then receive a call the day before going on holiday confirming the company had indefinitely postponed recruitment.

What eventually changed their fortunes was not a polished LinkedIn profile or a prestigious internship, it was a single checkbox. Ticking a box on a rejection email to agree to future contact led, months later, to an approach from Napier AI. An offer followed: a role as content automation assistant, a job title the candidate had never previously encountered.

From that starting point, the picture shifted quickly. Working inside a RegTech vendor gave an unusual window into how financial institutions approach financial crime, covering everything from due diligence questionnaires and third-party risk assessments to competitive bid processes. Genuine responsibility came early, and a progression into a client solutions consultant role followed before long.

The broader argument being made is that AML deserves far more attention from graduates than it typically receives. Napier AI’s own AML Index estimates that tackling illicit financial flows could restore more than $3.3tn to global economies each year. The crimes that money laundering enables, such as human trafficking, terrorism financing, drug cartels, give the work a social weight that is hard to overstate.

The discipline also defies the dry compliance image many associate with it. Modern AML relies heavily on artificial intelligence, automation, and data visualisation, with practitioners designing detection logic to surface patterns that manual review would miss. The analytical demands of the role, such as understanding why a transaction is structured a certain way, distinguishing legitimate behaviour from criminal activity, map naturally onto the skills developed through humanities and social science study.

Importantly, AML extends well beyond banking. FinTech, digital assets, asset management, real estate, and gaming all fall within its orbit, giving those who build expertise in the field broad options for where to take it next.

 

For more insights, read the full story here.

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