Robert Thorén: Why the Best Quants Need More Than Math and Code

What happens when you combine mathematics, engineering, and finance for nearly three decades?

In this episode of The Blunt Dollar, I sit down with Robert Thorén, partner at Algorithmica Research, quant engineer, entrepreneur, and someone who was building what we now call robo-advisory before the industry even had a name for it.

Robert’s journey into quantitative finance started in the 1990s, when quants were far from mainstream and financial technology looked very different from what it does today.

Since then, he has built businesses, quantitative infrastructure and industrial-scale systems used for pricing, risk management and trading.

We talk about everything from launching a finance startup during the dot com era to what separates great quants from great mathematicians, and why the AI revolution might actually make strong engineering fundamentals more valuable, not less.

🧮 Why mathematics and engineering fundamentals still matter in an era dominated by AI

🚀 What it was like building a financial technology company during the dot-com boom and winning clients through cold calling

⚙️ How industrial-scale quant infrastructure works behind the scenes when financial institutions are dealing with millions of positions

🤖 How AI is transforming software development, coding and productivity, and why Robert believes the role of engineers will evolve rather than disappear

🎯 Why the next generation of quants needs to combine mathematics, computer science and a genuine curiosity for financial markets

If you like quant finance, technology and conversations about where AI is taking the financial industry, this one’s for you.

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Enjoy the episode!

Disclaimer: This podcast is for informational and educational purposes only. It does not constitute financial, investment, or legal advice. Listeners should consult a qualified financial professional before making any financial decisions.