Finance Mojito – Where finance meets freshness. The perfect blend of money and life.
Why ‘Finance Mojito’?
Just like a mojito balances sweet, sour, and mint, this blog documents the balance between structured money concepts and the joy of everyday living.
Meet the Creator Behind the Blog
Hi, I’m Siljack Wong – a technology and data analysis enthusiast as well as a personal finance hobbyist.
By day, I work as a Project Manager handling complex technology systems within the banking sector. Because my daily professional life involves heavy interaction with financial data architectures, regulatory systems, and structural tracking, I have developed a deep appreciation for breaking down dense financial frameworks.
Finance Mojito is my personal passion project. It’s an independent hobby space where I use my free time to apply those same technology and analytical research skills to global personal finance concepts.
An Important Note on Educational Content:
This blog is strictly a personal archive of my independent research, learning journey, and public data case studies. I am not a financial advisor, and Finance Mojito does not offer any commercial consulting, client services, or personalized financial advice. It is simply a free‑time educational project dedicated to stripping away the jargon and making complex financial concepts crisp, logical, and accessible for readers globally.
Thanks for stopping by – let’s make finance simpler together. 🍸
How the Research Comes Together
Finance Mojito is a personal pursuit to make global personal finance concepts structured, balanced, and logical. I focus primarily on data from the US, Singapore, Malaysia, and universal finance concepts, as these are the data frameworks I actively study.
My professional career has trained me to be highly methodical with research, systematic analysis, and breaking down complex data sets into simple terms. Here is how my personal research process works:
| Step | What I Do |
| 🔍 Primary Research | I audit official public sources directly: IRS, CPF, EPF, IRAS, LHDN, MAS, BNM, SEC. |
| 🤖AI Data Structuring | I use AI tools exclusively to help organize mass information, format outlines, and summarize raw text blocks. |
| ✅Fact-Checking | I manually cross-verify every parsed data point back against official government and regulatory portals. |
| ✍️Human Synthesis | I synthesize and write the final articles completely in my own analytical voice using structural examples. |
| 🛡️Educational Disclaimer | Every post contains a reminder that the content is compiled strictly for general educational purposes. |
A note on AI usage: I believe in complete transparency. AI is used as an efficiency tool — much like a calculator for complex math or a spreadsheet for raw numbers. Every single article is fully researched, heavily edited, verified, and completely owned by me.
Affiliate & Advertising Disclaimer
To support the server hosting costs of maintaining this personal hobby archive, please note the following:
- Some links on Finance Mojito are affiliate tracking links. If you choose to click through and sign up for a product, I may earn a small commission at zero extra cost to you.
- This site displays contextual advertisements (such as Google AdSense) which generate minor revenue based on impressions or clicks.
My Editorial Standards:
- I will only highlight public data or platforms I find structurally useful.
- I will never let potential ad networks or tracking links influence data accuracy.
- I prioritize objective, factual, and transparent analysis above all else.
What is Documented in This Archive
| US Frameworks | Singapore Frameworks | Malaysia Frameworks | Global Concepts |
| 401(k), Roth IRA, Credits | CPF, SRS, HDB Mechanics | EPF, ASNB Data | Budgeting Layouts, ETFs |
| US Tax Code Core | IRAS Filing, MediShield | LHDN Filing, STR, BUDI | DCA Mechanics, FIRE Data |
| S&P 500 Analytics | SGX, Platform Data | Bursa, Platform Layouts | General Financial Psychology |
Let’s Build This Archive Together
Finance Mojito is a solo, free-time labor of love. If you enjoy tracking these data deep-dives, consider subscribing to the free weekly newsletter wrap-up or leaving your feedback in the comments section.
Here’s to structural clarity—one sip at a time.