Go Finance is a practitioner-led education house for the next generation of Vietnamese analysts. We build the programmes we wish we'd had on our first desk — short on theory, long on reps, audited by the firms that end up hiring our graduates.
We started Go Finance because the gap between “passing the CFA” and “being useful on a Monday morning” was costing Vietnamese analysts their first three years on the job.
Our founding team came off the desks at Dragon Capital, SSI, VPBankS and a handful of buy-side firms in Singapore. Every one of us had been hired with strong textbook scores and then spent eighteen months relearning how to actually build a model, defend a thesis, and survive an MD's red pen. We were tired of watching it happen to the cohort behind us.
So we built the school we'd wanted: small cohorts, live critique, every assignment graded against real desk standards. The first intake of 23 candidates ran out of a borrowed conference room in District 1. Eighteen of them passed CFA Level I on first attempt; fourteen had analyst offers before they finished the programme.
Five years later we run 24 programmes across CFA, applied AI, quantitative finance and corporate macro — but the operating principle hasn't moved an inch: if a graduate can't ship work that holds up under a senior's review, the programme has failed, no matter what the certificate says.
These aren't marketing values. They're the constraints we use when arguing about a curriculum change at 11pm on a Tuesday.
Every programme on this site is built by analysts currently working a buy-side, sell-side or quant seat — not a former analyst from a decade ago. If the curriculum author isn’t still on a desk, the programme gets rebuilt.
Every cohort's pass rate, offer rate and salary delta is published. If a programme drops below benchmark for two intakes in a row, we rebuild it or retire it.
Cohorts cap at 28. You will defend your work in front of peers and a working analyst, every week. No anonymous grading, no comment-thread feedback.
Local case law, local data, local firms — taught against the same yardstick used in London and Singapore. Both languages, no compromise on either.
Eleven years on the buy-side at Dragon Capital and a stint at Temasek. Designs the CFA and equity research curriculum.
Former HR lead at VPBankS. Runs admissions, employer partnerships and the placement programme.
Quant researcher, ex-SSI Algo desk. Built the Python, ML-for-Finance and execution-quant tracks.
First CFA Level I cohort of 23 candidates. Eighteen pass on first attempt.
Live case-studies and guest critique built into the equity research programme.
Python, ML-for-Finance and execution-quant — designed with practitioners from the SSI and VPBankS quant desks.
Dedicated classrooms, Bloomberg terminal access for cohort students, on-site mock interview suite.
Custom intakes for in-house teams at four securities houses and two fund managers.
And the same operating principle as day one — if the graduate can’t ship, the programme failed.