Technical Business Analyst building trading and financial data products
Eight years as a Technical Business Analyst working in Vietnam’s financial services, most of it turning messy requirements/problems into products people actually trade on. I write here about fintech, the Chevening application, and the lessons I learned in my life.
NOW
IT Business Analyst, AI Products
DNSE Securities, Hanoi
EDUCATION
MSc Financial Technology, Merit
University of Bristol — Chevening Scholar
CONTACT
Thuytrang090495@gmail.com
+84 84 982 8358
Latest from my blog
How I approached the four Chevening essays
I did not have a dramatic story. I had eight years of ordinary product work and a clear reason to study financial technology. Here is how I turned that into four essays.
Fintech — 28 Jul 2026
Writing requirements for a trading platform
Order types are where business analysis stops being paperwork. A conditional order specification that is ambiguous at 9:15am is a support incident by 9:16am.
Starting over at thirty, twice
I left a stable role for a master’s degree in a country where I knew nobody, then came back to a company I had already left. Both moves looked backwards on paper.
Selected work
AI Orders
Automated intelligent order-splitting for large-volume trades.
DNSE Securities
Sense
Financial data platform covering 2,000+ listed stocks. 326K users, 2.8M views in 2023.
DNSE Securities
Stock Gift System
Free-stock giving system that supported opening of 355K accounts in H2 2023 – 50× H1.
SSI iBoard
Trading platform and price board; 2.5× online trading volume year on year.