The LinkedIn challenge
- •Many of your work involves proprietary financial data and models that you can't share publicly, so you don't know what to post about
- •Finance professionals on LinkedIn tend toward dry, jargon-heavy content, you want to be engaging but don't want to sacrifice credibility with your peers
- •You're excellent at analyzing numbers but translating financial insights into compelling narrative content requires a different kind of thinking
How Edgar helps
Edgar replaces the blank page with a conversation. In a 10-15 minute voice call, you share your insights and stories. Edgar turns that conversation into polished LinkedIn posts in your authentic voice, no writing required.
What to post about
- 1Financial modeling lessons, common mistakes, best practices, and frameworks that make models more useful
- 2How to communicate financial analysis to non-finance stakeholders, translating numbers into stories
- 3Industry analysis and market trends from a finance professional's perspective
- 4Career path navigation, the CFA vs. MBA decision, analyst to associate progression, exit opportunities
- 5Excel, SQL, and Python tips for financial analysis, practical tools that make you more efficient
- 6Due diligence and valuation approaches, what you look for when evaluating a business or investment
Example post
A VP asked me to build a financial model for a potential acquisition. The model was clean. The numbers worked. IRR looked great. However, something felt off. I spent an extra day pulling the target's customer concentration data. Turns out 40% of their revenue came from one client on a contract expiring in 8 months. That one data point changed the entire deal thesis. The model was right. The assumption behind it was wrong. The many dangerous thing in finance isn't a bad model, it's a good model built on an unchallenged assumption.
Tips for your LinkedIn presence
- •Share analytical frameworks and thinking approaches rather than specific numbers, the methodology matters as much as the result and is safe to share
- •Write about the 'so what' of analysis, anyone can run a DCF, but explaining what the output means for strategy is what makes a great analyst
- •Post about the tools and workflows that make you more productive, practical content like Excel shortcuts and Python scripts for finance always performs well
- •Use Edgar to reflect on your week's analyses and extract the insights that are universally applicable without revealing any proprietary details
Frequently asked questions
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