jugular Trujillo

I’m a Quantitative Researcher with a mathematician’s foundation, focused on formulating, empirically validating, and implementing quantitative strategies—especially portfolio optimization models.

Across my roles, I’ve worked on quantitative equity strategies development (fundamentals and machine learning), quantitative model validation, and producing clear model documentation. I aim to turn rigorous analysis into strategies that hold up in practice.

My work spans the full modeling cycle: from validating assumptions to optimizing implementations, using tools and methods like Scala, statistics, and convex optimization. I also apply predictive modeling approaches informed by my ML research.

I bring a strong competition and research mindset, with a proven track record across mathematics (Putnam), trading (IMC top 1%), and ML research (two Kaggle medals). I’m energized by problems where careful reasoning and measurable performance matter.