Vector Trading
Daniel Gribel is a quantitative developer at Vector Trading, LLC, specializing in predictive models for anomaly detection and trend prediction in trading strategies since July 2021. Previously, Daniel served as a researcher and teaching assistant at Pontifícia Universidade Católica do Rio de Janeiro from March 2017 to July 2021, focusing on discrete structures, combinatorics, and graphs. Daniel also participated in a doctorate exchange at CIRRELT, researching semi-supervised clustering. Earlier experience includes a software developer role at IBM Research Center, where Daniel engaged in various machine learning and data analytics projects, and a web developer position at ARGO Internet. Daniel holds a PhD and a Master's Degree in Computer Science from PUC-Rio, a Bachelor's Degree in Information Systems from UFRRJ, and a secondary education in Informatics from Fundação Nokia de Ensino.
This person is not in the org chart
This person is not in any offices
Vector Trading
Vector Trading is a prop trading firm composed of talented professionals working on multiple strategies and expanding to different asset classes and electronic exchanges around the world. Vector has consistently experienced self-sustained growth at extraordinary rates since our founding in 2014. Their company culture is based on scientific curiosity, integrity, personal growth and teamwork. Inevitably, this is the secret of their success. Vector Trading works to be a leader in the application of technology and statistical modeling for price discovery in the financial markets. For strategies that depend on speed, their bots can execute trades measured in nanoseconds.