ViewShareRepost

Built by Analysts, For Analysts

Fifteen years ago, we were sitting exactly where you are now

Staring at spreadsheets that made sense in theory but fell apart in practice. We started viewsharerepost because the gap between academic finance and real corporate decision-making was wider than anyone wanted to admit. And honestly? It still is.

The Problem We Kept Running Into

Back in 2010, our founder was working at a mid-sized manufacturing firm in Taipei. The CFO wanted better forecasting models. Simple request, right? Except the textbook methods didn't account for the actual rhythms of their business—seasonal vendor negotiations, delayed receivables from specific clients, the way inventory moved through their particular supply chain.

That disconnect kept showing up. Analysts were trained on pristine datasets and theoretical frameworks that assumed clean data and rational markets. Real companies? They're messier. Way messier.

So we built something different. Training that starts with the chaos first, then shows you how to apply the theory in ways that actually hold up when your VP questions your assumptions in a board meeting.

Financial analysis workspace showing real corporate finance documentation and analytical tools

People Who Actually Do This Work

Portrait of Eldar Vukovic, Lead Finance Instructor

Eldar Vukovic

Lead Finance Instructor

Spent twelve years between corporate treasury and FP&A roles before he got tired of seeing smart analysts struggle with tools that didn't match their actual workflow. Now he teaches scenario modeling using the frameworks he wishes someone had shown him earlier.

Portrait of Niamh Brennan, Valuation Specialist

Niamh Brennan

Valuation Specialist

Worked through three M&A cycles at firms you've heard of. She's seen valuation models stretched to justify deals that shouldn't have happened. Her approach focuses on building defensible models that survive scrutiny from skeptical stakeholders.

How We Actually Teach This Stuff

Start With Messy Data

Every program begins with datasets that look like what you'll actually encounter. Missing values, inconsistent formatting, quarterly reports that don't quite reconcile. You learn to clean and validate before you analyze—because that's what the job actually requires.

Build Models That Break

We intentionally give you scenarios where standard approaches fail. A company with unusual working capital cycles. Revenue streams that don't follow typical patterns. You figure out where the textbook method falls short, then we show you how experienced analysts adapt.

Present Under Pressure

You'll present findings to instructors role-playing as skeptical executives. They'll question your assumptions, poke holes in your logic, ask for different scenarios on the spot. It's uncomfortable. But that fifteen minutes of simulated pressure is worth hours of theory when you're in a real stakeholder meeting.

Refine Through Iteration

Nothing gets approved on the first pass. You submit work, get detailed feedback on both technical accuracy and practical usability, then revise. Most participants go through three to four iterations on major projects. That's intentional—it mirrors how analysis actually gets developed in corporate environments.

What We Care About

Practical Over Theoretical

If a technique looks impressive but falls apart when data gets weird or timelines get tight, we don't teach it. Every method we cover has been stress-tested in actual corporate finance roles.

Honest About Limitations

No model perfectly predicts the future. No valuation method eliminates judgment calls. We teach you to understand and communicate uncertainty—because that's what separates trusted analysts from spreadsheet mechanics.

Focused on Taiwan Context

Exchange rate considerations for cross-strait business. Working with ROC GAAP alongside IFRS. Understanding local banking relationships and financing structures. Generic finance training misses these details. We don't.

Small Cohorts Only

We cap programs at sixteen participants. You get direct feedback on your work, not generic comments. Instructors learn your specific challenges and can tailor examples to scenarios you'll actually face in your role.

No Overnight Experts

Corporate finance proficiency develops over months of consistent practice. We structure learning for steady skill-building. Anyone promising mastery in a weekend workshop is selling something we won't.

Post-Program Support

You can reach out with questions after completing a program. Stuck on a model six months later? Need a second opinion on an approach? We stay available because learning doesn't stop when the official sessions end.

Corporate finance training session with analysts reviewing financial models Collaborative workspace where finance professionals discuss analytical approaches Modern financial analysis tools and resources used in corporate training Professional finance education environment in Taipei office space

Where We're Based

Our training space is in Songshan District, about eight minutes from Nanjing Fuxing MRT station. We picked this location because it's accessible for professionals coming from different parts of Taipei without requiring a cross-city commute after work hours.

Most of our programs run during autumn 2025 and early 2026. We schedule sessions either on weekend mornings or weekday evenings to work around typical analyst schedules. The next cohort starts in September 2025.

  • Address: B1, No. 51, Section 4, Nanjing E Rd, Songshan District, Taipei City 105
  • Phone: +886983240609
  • Email: [email protected]