Nov 16, 2020

PwC divests fintech business in management buyout

auditing
PwC
Acquisition
risk assessment
Rhys Thomas
2 min
The rebranded business LikeZero will be led by former PwC Director Michael Line amid increased scrutiny of the Big Four
The rebranded business LikeZero will be led by former PwC Director Michael Line amid increased scrutiny of the Big Four...

PricewaterhouseCooper (PwC) is to divest its fintech division eBAM in a management buyout.

The acquisition was backed by private equity firms Souter Investment and Manfield Partners, and led by former PwC Director Michael Line who will helm the new business, rebranded to LikeZero, as Chief Executive. 

LikeZero uses data-driven proprietary technology to automate risk analysis for financial organisations. It serves around 10 of London’s biggest financial firms. With pressing issues such as Brexit, COVID-19 and the recent switch from Libor to SOFR, Line says risk assessment has become “increasingly challenging”. 

“I’m convinced that our proprietary software and expertise is the best in the market and there lies the opportunity for us,” he adds. “This is a hugely exciting moment for our business.”

The move follows a clamp down on potential conflicts of interests between auditors and their clients. Four years ago the Financial Reporting Council (FCR) imposed their first restrictions banning the Big Four accountancy firms from supplying their audit clients with financial technology products. More recently in late 2019 the FCR imposed new restrictions to increase impartiality in the audit process, extending the embargo to other advisory services. 

More Big Four shake-ups to come

Chris Biggs, a Partner at Theta Global Advisors, expects further shake-ups as the pandemic refocuses the lens on dominant accountancy firms and their interests: “Now, they are beginning to sell-off businesses that could be deemed to go against regulations and this is unlikely to be the final announcement in the space.” 

He warns that if auditors don’t dramatically cut back on their non-audit business, “we could see audits moving to be the responsibility of government-led bodies”. 

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Jun 19, 2021

AI and the future of global trade

AI
Tradeteq
trade
Finance
Michael Boguslavsky, Head of A...
3 min
Boguslavsky explores AI's potential in trade finance; could it overcome traditional barriers and usher in a new era of financial transformation?

Artificial intelligence (AI) is becoming entrenched in our daily lives, but the technology is still surrounded by misconceptions and skepticism. Ask the public and they may jump to dystopian scenarios where robots have taken over the world. 

While this makes for a good sci-fi blockbuster plot, the reality is different and more benign. Those products that Amazon suggested you buy? AI. That TV series you were recommended to watch on Netflix? AI. That self-driving Tesla car you crave to take for a spin? You guessed it: AI.

There is no single industry that is not being re-shaped by technology. Until recently, however, there was one noteworthy exception: global trade. Fortunately, that is slowly changing.

The mechanism that underpins global trade – trade finance – is an industry that remains largely paper-based and reliant on manual processes. This US$18tn a year industry is now being influenced by a new wave of technological innovation, including AI.

Exploring the potential of AI in Trade Finance

AI refers to the use of computer-aided systems to help people make decisions or make decisions for them. It relies on large volumes of data and models to make sense of information and draw intelligence. 

In trade finance, AI is helpful in analysing quantitative data, and the repetitive nature of trade finance means that there is a lot of non-traditional data at our disposal. 

This means that when trade finance providers need to assess the risks of funding a transaction, AI models can be a very efficient tool for data analysis and reveal intelligence and risks relating to small companies.

AI helps the industry move beyond traditional credit scoring processes, which are often outdated and remain reliant on historical accounting entries – a barrier that prevents small companies from accessing trade finance and has resulted in a $1.5tn global shortfall. 

Overcoming the barriers

AI can tackle this shortfall by creating accurate credit scoring models. This can include a company’s payment history, measure the risks of funding a transaction, identify supply chain risks, and benchmark them against their peer group.

Trade finance providers can use this information to communicate effectively with their SME clients, ultimately helping establish better business relationships.

Towards a technological utopia?

The adoption of AI has the potential to do a lot of good in the industry, and the industry is in the early stages of radical transformation.

Advances are driven by fintechs as well as a willingness to change. The industry is working together to create new infrastructure for distributing trade finance assets to other investors in a transparent, standardised format. 

The creation of infrastructure is possible due to improvements in technology and integrated across the trade ecosystem in cooperation with banks, insurers, and other industry participants. 

It’s collaboration at its best: together, the industry is using technology to re-shape global trade as we know it.

This article was contributed by Michael Boguslavsky, Head of AI at Tradeteq

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