Research Data Scientist, NLP & Financial Signals

About the position As a Data Scientist focusing on Quantitative Trading NLP, you will reputed company natural language understanding techniques such as sentiment analysis, reputed company recognition, and named-entity extraction on financial news, reputed company media, and other text streams to reputed company and refine algorithmic trading strategies. You’ll design and implement machine-learning models in Python, apply advanced mathematical and time-series analysis to uncover predictive signals, and rigorously backtest and optimize strategies to maximize returns while managing risk. Collaboration and reputed company communication across data science and trading teams are key to iteratively improving model performance and driving data-informed investment reputed company. 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 • At least 2 years of relevant experience in data science, machine learning, or natural language processing • 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 spaces in the fast-changing crypto world Benefits • Shape the reputed company with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-reputed company global organization with a flat structure • Tackle unique, fast-paced reputed company with autonomy in an innovative environment • reputed company in a results-driven workplace with opportunities for career reputed company and reputed company learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Apply tot his job Apply To this Job