Vincent Chong
Senior Manager (SVP), Operational & Resilience Risk Assurance, Risk & Compliance
Singapore
Summary
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Senior🎓
Top SchoolVincent Chong is a seasoned risk and technology assurance leader with over 20 years of hands-on experience bridging IT engineering and financial services audit across major banks in APAC. Currently Senior Manager (SVP) for Operational & Resilience Risk Assurance at HSBC, he combines deep expertise in IT, cyber, third-party and contingency risk with practical end-to-end audit delivery—from scoping and testing strategies to investigation and stakeholder reporting. His background as a systems engineer and web developer gives him a rare technical fluency for automation, portal development and data-driven audit tooling that improves control effectiveness and efficiency. Known for leading cross-border assignments and regulator-driven reviews, he navigates complex governance and outsourcing landscapes while driving actionable remediation. Based in Singapore, Vincent pairs a Computer Engineering degree with a career track that moves fluidly between building web-based solutions and rigorous risk assurance.
10 years of coding experience
2 years of employment as a software developer
B.A.Sc (Computer Engineering), Computer Engineering, Degree with Merit, B.A.Sc (Computer Engineering), Computer Engineering, Degree with Merit at Nanyang Technological UniversityDiploma in Electrical Engineering, Electrical Engineering, Awarded the Certificate of Merit, Diploma in Electrical Engineering, Electrical Engineering, Awarded the Certificate of Merit at Singapore Polytechnic
Github Skills (114)
python10
deep-learning10
neural-network10
data-science10
tensorflow10
machine-learning10
ml9
docker-image9
deep-neural-networks9
imagenet8
team-project8
annotations8
mobilenet8
nvidia8
semantic-segmentation8
Programming languages (10)
Github contributions (5)
charlyng/Embedded-Deep-Learning
Apr 2016 - Jul 2016
Contributions:145 commits, 145 pushes, 3 comments in 3 months
VincentChong123/Embedded-Deep-Learning
Mar 2016 - May 2022
Contributions:4 pushes in 6 years 2 months
deep-learningevaluationmachine-learningembedded-systemsembedded
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