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American Express Launches Singapore Centre of Excellence for Decision Science Innovation

American Express opens its Decision Science Centre of Excellence (CoE) in Singapore to resolve the complex issues facing the financial industry.

The new American Express Singapore Decision Science CoE is driving its pursuit of delivering globally-applicable data-driven solutions.

The CoE is investigating data science applications in the areas of credit and fraud risk model development. Artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) remain integral to the production of these applications.

“Singapore is a recognised world-leading financial and technology hub,” confirms Changbin Wang, managing director for the CoE.

The centre’s Singapore location reflects American Express’s “commitment to continue investing in this country,” continues Wang. “We are confident the country’s exceptional talent will fuel American Express’ innovation to better service our global card member base.”

Talent drives innovation, and innovation delivers data science applications that shift the industry. This mantra remains the certain focus of the CoE in its early days. However, such a focus will no doubt evolve and develop as the centre itself progresses.

“Decision Science CoE is an exciting addition to Singapore’s digital industry,” comments Philbert Gomez, VP and head of Digital Industry Singapore (DISG).

For Gomez, the centre is creating opportunities for talent to apply new and exciting research methods. With these methods, the CoE talent pool aims to solve global-scale and complex issues faced by the industry.

“The outcomes from the CoE will, in turn, attract and groom global experts from Singapore,” adds Gomez.

Over time, it’s expected that American Express will expand the focus of the CoE to include the development of other AI, ML and NLP technology use cases.

Hiring for the Decision Science CoE

American Express confirms that hiring for the Innovation Lab is to begin immediately. The company seeks candidates with master’s degrees or PhDs in the areas of mathematics, engineering, finance, computer science or other equivalent technical programmes for data scientist and AI/ML researcher roles.

Author

  • Tyler is a fintech journalist with specific interests in online banking and emerging AI technologies. He began his career writing with a plethora of national and international publications.

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