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Cuscal hits female leadership targets

Cuscal's female leadership with MD Craig Kennedy

A gradual increase in the number of senior female appointments in recent years has helped Cuscal to hit its target of 40% of senior leadership roles to be held by women.

In May this year Helen Mediati, Cuscal’s General Counsel and Company Secretary was appointed to Cuscal’s Leadership Team. This followed the appointment of Bianca Bates to the role of Chief Client Officer, earlier the same month. Cuscal’s Managing Director, Craig Kennedy, says it has been a deliberate part of Cuscal’s long-term strategy:

“Cuscal is a payments company which straddles the worlds of technology and banking, both industries which struggle with gender diversity and female leadership.

We knew that having greater gender balance in our leadership would help make us a stronger, fairer, better company, so we have been working towards a goal of greater senior female leadership for a few years now. Three out of seven of my Leadership Team are now women (43%) and this ratio is consistent throughout leadership positions at Cuscal.

We know there’s still some way to go, for example our diversity at Board level isn’t what we would like it to be, but we’re pleased to hit this target and now need to maintain or improve it.”

Cuscal has employed a range of initiatives to improve diversity, female employment and leadership at Cuscal which include:

  • Creating a Women’s Initiative Network three years ago and then a Diversity and Inclusion Council
  • Mandating that recruiters include at least one suitably qualified female applicant for each role
  • Trialling blind resumes in the project and technology division
  • Reviewing our flexibility policies to ensure consistency in application
  • Extending paid paternity leave from one week to four weeks.

As of May 2018, Cuscal’s ratio of male/female employees was:

  • Board: 13% female, 87% male
  • Leadership Team: 43% female, 57% male
  • All employees: 40% female, 60% male

Pictured L to R: Bianca Bates, Craig Kennedy, Helen Mediati, Christie Welsh

Fraud and AI: what you need to know

Artificial Intelligence (AI) is already having a significant impact on the way we do business today. From helpful chat bots guiding us through complex purchase journeys to detecting potentially fraudulent payments, AI has the potential to create seamless customer experiences while simultaneously processing large amounts of information.

Machine learning frees humans from the grunt work of data tracking and pattern analysis – it’s faster, more scalable and learns from past information. No wonder Gartner predicts that more than 40% of data science tasks will be automated by 2020.

So when it comes to balancing customer demand for real-time payments with secure fraud-mitigating authentication, AI is an effective enabling tool for fraud teams to focus their investigation skills in the best place to securely ensure the speed and rigour required for a real-time payment. And that’s why more organisations are exploring the use of AI, especially in the area of fraud.

What role could AI play in fraud prevention and detection?

Through machine learning, the complexity of big data really becomes useful. At Cuscal, we have partnered with Feedzai to provide an advanced risk management platform that will be core to protecting Cuscal clients from the evolving threat of fraud.

“When using Feedzai, banks have significantly improved fraud detection, reduced false positives and overall a better customer experience – outperforming leading non-AI solutions – that’s why banks like Citi and Capital One have backed Feedzai’s technology.” said Richard Harris, SVP Sales International from Feedzai.”

With so many more payment channels available – online, mobile, P2P – there are more points of vulnerability. More than ever, we need a complete view of customer activity across products, an integration of channels to improve the customer experience, and to make more data-backed business decisions.

How will AI strengthen existing fraud protection systems?

With AI’s ability to analyse complex data in real time, fraud teams are better equipped to predict fraud before it occurs and so minimise losses.  AI reduces some of the noise of large amounts of data to focus on the real threats.  As we prepare to launch the New Payments Platform (NPP) in Australia, we can expect to see digital transaction processing converge with analytics providing better insights. Machine learning will enable organisations to look at more data, from more sources, and make better predictions with less uncertainty.

Of course, bots could be working on both sides – and the next generation of AI-enabled fraud systems will also need to be prepared to tackle new and increasingly sophisticated fraud attempts and scams.

Every Australian financial institution connecting to the New Payments Platform (NPP) needs to consider their real-time fraud monitoring and ensure effective controls are in place. AI is likely to underpin best practice – checking every transaction in real time for anomalies and flagging suspicious activity for action by experienced fraud investigation teams.

Learn more about preventing fraud in a real-time world.

Fraud prevention: then and now

Fraud & AI Infographic

Learn more about preventing fraud in a real-time world.

By Michelle Trundle, Senior Manager, Fraud