LIVE UPCOMING SHOW
Thursday, September 18, 2025
@
12:00 pm ET
Data scientists have the skills to model complex systems, work with messy data, and uncover hidden patterns.
Quant scientists do all of that, but with the added thrill (and pressure) of putting real money on the line.
In this show, we sit down with Jason Strimpel, Founder of PyQuant News and Co-founder of Quant Science, to explore why data scientists are uniquely positioned to excel in algorithmic trading.
Whether you’re a data scientist curious about finance, or simply interested in seeing your models have a more personal impact, this show offers a fresh perspective on how your skills can translate into the world of algorithmic trading.
What You'll Learn:
How your Python, stats, and modeling skills transfer directly into the markets
The mindset shifts required
Why reproducibility, auditability, and backtesting discipline are the data scientist’s secret weapon
Common pitfalls when transitioning into quant roles, and how to avoid them
The tools and workflows Jason recommends to get started fast
You can check out and subscribe to PyQuant News here.
Register For The Show
First name
Last name
Email address
Company name
Job role
Which data topic are your most interested in?