PERSPECTIVES

Why WorldQuant: Real-world Applicability

5 min read

Why WorldQuant: Real-world Applicability

Chandana Rao, Senior Quantitative Researcher, has built the analytical and programming skills to seek to quantify everything from financial markets to Formula 1 racing outcomes.

The good thing about WorldQuant is that there is this whole process of continuously improving yourself.

I studied Textile Engineering back in India, and one of my projects had a lot of data analysis. That was the first time I realized that I loved Python programming, and it was WorldQuant that gave me that opportunity.

I started as an intern and then full-time as a researcher. You’re really developing a core skill-set. You can actually quantify anything and everything.

So I had really gotten into car racing and I realized that the same data analysis could predict the driver standing in an upcoming race. I’m grateful for WorldQuant, because it helped me develop the skillset that I needed.

There’s so many people around you. Everyone’s willing to teach you, which actually does make you excited to come into work every day.