Data Scientist

This role sits at the intersection of quantitative finance, machine learning, and natural-language understanding. You’ll leverage NLU techniques—like sentiment and intent analysis—to mine news and social media for trading signals, build and mathematically refine predictive models, and rigorously backtest and optimize your strategies to drive data-driven investment decisions. Responsibilities: Research and develop quantitative trading strategies using NLU methods—sentiment analysis, intent recognition, named-entity extraction—on financial news, social media, and other text sources. Design and build machine-learning models to uncover predictive trading signals and perform exploratory data analysis on large, complex datasets. Apply mathematical techniques (probability, statistics, time-series analysis) to refine and strengthen trading models. Rigorously backtest strategies against historical data and iteratively optimize models to boost performance and curb risk.