Tang Xiang
Collateral Management & Treasury Analyst
Singapore
Summary
👤
Senior🎓
Top SchoolTang Xiang is a Collateral Management & Treasury Analyst based in Singapore with eight years’ experience in trade finance, operations and cash management across Asia. At CZ he progressed from Trade Finance & Operations Intern to Trade Analyst and now Collateral Management & Treasury Analyst, building Power BI reports, loan trackers and cash-forecasting tools that improved decision-making and reduced financing costs. He blends hands-on operational execution—document inspection, loan draws and LC management—with data-driven automation (Power Query/Power Pivot) to standardize reporting and uncover counterparty risk patterns. Comfortable liaising with banks, traders and senior management, Tang has a maritime trading background with international exposure through Erasmus and NTU, and an unexpected creative streak hinted by a playful GitHub bio and linked “Cozymel” page.
8 years of coding experience
76.5RP, 76.5RP at Pioneer Junior CollegeBachelor of Science - BS, Maritime Studies with Specialisation in International Trading, Honours (Distinction), Bachelor of Science - BS, Maritime Studies with Specialisation in International Trading, Honours (Distinction) at Nanyang Technological UniversityOverseas Exchange Program, Overseas Exchange Program at Erasmus University RotterdamL1R5: 14 - 2 (NET), L1R5: 14 - 2 (NET) at Swiss Cottage Secondary School
Github Skills (167)
computer-graphics10
cyclegan10
collaboration10
drawing10
latency10
sketching10
image-translation10
image-manipulation10
whiteboard10
visualization10
dcgan10
canvas10
generative-adversarial-network10
blockchain10
network-flow10
Programming languages (12)
Github contributions (5)
mwufi/pytorch-gqn
Jun 2019 - Jul 2019
Contributions:13 commits, 31 pushes, 3 branches in 4 days
mwufi/test
Mar 2020 - Jun 2020
GanBox is a student-friendly playground for training common generative adversarial networks, in a easy-to-use and tested setting.
Contributions:100 pushes, 1 branch in 3 months
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