From Mechanical Engineering to Venture Capital

People are surprised when they learn I studied Mechanical Engineering. A VC who can read a stress analysis? A founder who started on thermodynamics problem sets?

It makes more sense than people think.

What Engineering Actually Teaches You

Queen's University engineering does not teach you to memorize formulas. It teaches you to decompose complex systems into components, understand how those components interact, and identify the constraints that determine whether the system works or fails.

That is exactly what venture capital requires.

When I evaluate a startup at Iron Key Capital, I am not reading a pitch deck. I am running a systems analysis. What are the components of this business? How do they interact? Where are the constraints? What are the failure modes? What does the system look like when it works?

The Engineering-to-Finance Bridge

After Queen's, I went to Scotiabank Capital Markets as an xVA Sales and Trading Analyst. xVA - valuation adjustments for counterparty credit risk - is essentially applied mathematics in a financial context. It is one of the most technically demanding roles in banking.

The bridge between engineering and finance is shorter than most people realize. Both disciplines require rigorous quantitative analysis, systems thinking, and the ability to operate under uncertainty. The difference is what you are building: in engineering, you build physical systems. In finance, you build pricing models. In entrepreneurship, you build companies.

Systems Thinking in Venture Capital

The Iron Key evaluation framework is an engineering framework applied to venture. Four filters, each one a constraint. If a company fails any filter, the system does not work regardless of how strong the other components are.

Does the founder have operational history? That is the reliability test. Has this component been proven under load?

Can the founder name their first 1,000 customers? That is the market specificity test. Is the input defined well enough to produce a predictable output?

Does the company have a distribution advantage? That is the efficiency test. Can the system deliver its output at a cost that scales?

Does the opportunity fit the timing model? That is the constraint test. Are the external conditions right for this system to operate?

Why Engineering Backgrounds Produce Good Investors

The best investors I have met - regardless of their background - think in systems. They understand that a company is not a pitch or a product. It is a system of interacting components that either work together or break down.

Engineering taught me that systems fail at their weakest constraint, not their strongest component. A company with brilliant technology but no distribution will fail. A company with great distribution but bad unit economics will fail. The system has to work as a whole.

That is the lens I bring from Kingston to Toronto. From Queen's to Iron Key. From Mechanical Engineering to venture capital.