GTT0928: User Trust - Fighting the Shadows: An Insider’s tale

Fighting the Shadows: An Insider’s tale

User Trust, Safety and Identity protection are classic adversarial learning challenges: As soon as an automated system successfully learns how to stop one scheme, fraudsters mutate and change their attack patterns. Against intelligent adversaries in a fluid problem space, the Trust and Safety team at Grab operates with the mandate of keeping the ecosystem safe and fair for all our users, passengers and drivers alike.

The rapidly evolving fraud trends of the world constantly requires new approaches to age-old problems. Thus, this session will describe our machine learning techniques in providing a safety score and detecting incentive fraud to help Grab stay informed and secure in the complex two-sided marketplace that powers the ride hailing ecosystem. The speakers will share their experiences, data driven case-studies and the unique lessons they learned from combining theoretical expertise, technology and human intuition to the spectrum of good, bad and grey that is the world of user trust, identity and safety. Overall, this talk will benefit anyone interested in adversarial learning, human psychology and game theory. "

Please RSVP here. We look forward to seeing you at the event!

Agenda:

• 19:00 - Registration Opens

• 19:10 - Happy Hour Networking with Bites & Drinks

• 19:20 - Welcome Remarks & Presenter Introduction

• 19:30 - Speaker #1: Jia Long, Data Scientist at Grab

• 20:00 - Speaker #2: Jeffrey Siaw, Data Scientist at Grab

• 20:30 - Audience Q&A Session

• 21:00 - Closing Remarks

• 21:10 - Further Networking with Bites & Drinks

• 22:00 – Closing

Speakers Profile:

https://lh5.googleusercontent.com/aPAqoFY2HDIStsHwWrVnW_E6xrXQCtC3zWg2Ys4zCbAizLZPolzLl2aKOwqdtIKG949MDyPHtu28mCrzryrhfz8DdEFKdAlBZeA1yIh49zV_lJoFPdB-XNJpi-d5A13Bkt4MXSsv

Jia Long currently holds the position of Data Scientist (User Trust) for Grab. He works closely with analysts across the region to ensure that the Grab ecosystem is a safe and fair place for all it's customers. Coming from the seismic industry with a signal processing background with an interest in data visualisation and web design, he brings a different perspective to the transport industry.

Jia Long received his Masters in Petroleum Geophysics from Imperial College in London, UK.

https://lh5.googleusercontent.com/3bryCk-TUyVS3W6rT04_Bc44EcNtBhuuoKjtcbSMLKqkYCfSFVkPefYZuvlLtpCt0r2z-CMdcOPPWqC81HJHT6uhZZLXcPo0IjUnOvrNXcwM2s-2KvBtFOhbCCxoqLABPKPwI7gb

Jeffrey is a Data Scientist on the User Trust team. He has a background in Machine Learning and at Grab, he works on problems ranging from driver safety, text classification to fraud. On weekends, he enjoys cooking and binge watching entire seasons of TV shows in one sitting.

Jeffrey received his Masters in Computational Statistics and Machine Learning from University College London in London, UK.

Note: Please RSVP here first and we can only allow those that are listed here as RSVP’d to join our event as we have limited capacity.

About Grab Tech Thursdays:

Grab Tech Thursdays is a monthly series for peers in Asia's tech startup community to share knowledge and best practices as well as provide an informal space for networking. Originally conceived within Grab to focus on pushing the boundaries of technology and business to Drive Southeast Asia Forward, we are excited to now make available these sessions on the last Thursday of each month to the wider tech/startup community. Stay tuned and check back for our line-up of interesting speakers and content.