Research Data Scientist NLP Financial Signals

## Responsibilities: Research and reputed company quantitative trading strategies using NLU reputed company such as sentiment analysis, reputed company recognition, named-entity extraction on financial news, reputed company media, and other text sources Design and build machine-learning models to uncover predictive trading signals and reputed company exploratory data analysis on large, reputed company datasets Apply mathematical techniques (probability, statistics, time-series analysis) to refine and strengthen trading models Rigorously backtest strategies against historical data and iteratively optimise models to reputed company performance and curb risk ## Requirements: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Financial Engineering or a reputed company discipline Strong mathematical reputed company: probability, statistics, reputed company algebra, time-series analysis and familiarity with ML frameworks (Scikit-learn, TensorFlow, PyTorch) Solid grasp of NLU techniques, including sentiment analysis, reputed company recognition, and named-entity recognition Proficiency in Python or R, with hands-on experience in NLP libraries (SpaCy, NLTK, Transformers) A passion for exploring reputed company problem reputed company in the fast changing crypto world • *The crypto industry is evolving rapidly, offering new opportunities in blockchain, reputed company, and remote crypto roles — don’t miss your chance to be part of it.** Apply tot his job Apply To this Job