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Jenny Chong

Head of Innovation and Data Analytics, Kogo Pay & Non-Executive Director & Chair of Medway Innovation Institute - NHS Medway Foundation Trust

Biography

Jenny Chong has a 20 year career in Investment Banking Technology. She grew up in Singapore, and after graduating from the London School of Economics, she joined Credit Suisse. Starting in Equities, she has since worked across client relationship management, infrastructure, software engineering, application development, program management, big data and AI.

Her most recent role was as Credit Suisse’s Global Head of Electronic Communications Surveillance, product owner of their award-winning regulatory compliance platform. The platform performs analytics to detect potential malicious and market abuse behaviour; leveraging natural language processing and deep learning to cognitively learn human context; identify patterns to create behavioural models; and detect anomalous signals. This platform won the Financial Times WealthTech Award for “Best Private Bank Globally for Big Data & AI” and the British Computer Society competition for demonstrating “Progress Towards Machine Intelligence”.

Jenny is currently Head of Innovation and Data Analytics for KogoPay, a mobile payments FinTech; Managing Partner of Knightingale Consulting; and a Technology Advisor to various early-stage start-ups. She also sits on various committees for The Design Museum and Egypt Exploration Society; and on the global advisory board for Business of Data. She is a mentor and advisor with Imperial College London’s IVMS (Imperial Venture Mentoring Scheme) and their Engineering Faculty’s ITES (Imperial Technology Experts Service).

Jenny is actively involved in various initiatives to promote STEM, gender equality, diversity and inclusion. She is also a recipient of the 2019 Tech Star award at the “Women in Banking and Finance Annual Awards for Achievement”.

Getting to know...

You’re passionate about data storytelling. Would you tell us a little about what it is and why you’re an advocate for it?

Like reading a story book, one has to immerse oneself in data, appreciate the journey and enjoy the ending. A page of numbers is merely one-dimensional. But to transform that into a juicy visualization, connect the dots and enrich it with context, to use it to explain the past and predict the future, provoke curiosity or evoke an emotional response? That is the power of data storytelling.

However, like any Nobel-winning piece of literature, much effort needs to be put into telling the story well. From data sourcing to data transformation and experimentation to get a crisp impactful narrative – it is all worthwhile when you capture the audience as you tell your story and you literally see the lightbulb moment in their eyes.

What are the top challenges you see the data and analytics community facing in 2021?

COVID-19 has made us all data scientists to some degree – from tracking infection maps; calculating R numbers or scrutinizing histograms and heat maps to nerdier activities, like building neural networks to process lung CT scans.

It has given everyone a better appreciation of data engineering and analytics. We have certainly loosened the shackles of bureaucracy and gotten bolder in using technology to address the crisis. It has also meant we are swimming in even more data swamps.

I don’t think the fundamental data challenges have changed as we use data to make more policy decisions in a fast-moving landscape. They’re still: data integrity and lineage, diversity (data and people), data impact and responsibility and data governance.