1 to 3 of 3 Permanent Sentiment Analysis Jobs

virtual and serveless hardware, deployment quantitative models to production. The systems include market data loading, pricing, sensitivity based risk analytics, historical back-testing, statistical analysis of relevant market data, numerical implementations of analytical modules in Python. Barclays is one of the world's largest and most respected financial institutions … counterparty risk management, including cash usage, balance sheet, liquidity, and regulatory capital What we re looking for: Natural language processing and sentiment analysis Attention based transformer architectures, e.g. Google s open-source BERT Experience in supporting machine learning models in production Hands-on programming skills in Python … to production Experience in development and support of quantitative development process, including statistical and machine learning models Analytic skills: financial mathematics, time series, statistical analysis, numerical analysis, etc Where will you be working? Our Prague office is based in the financial centre of Prague. We are part of more »

by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate … reports to ensure data quality and business value. Clean, structure and normalize data to eliminate redundant or unnecessary information to enable robust and sound analysis Participate in the development of both back-end data pipelines and front-end applications Generate analytical reports to track adherence of client processes to … Mathematics, Engineering, Statistics, Computer Science or Physics. Advanced degree preferred but not required. Knowledge of Linear Algebra, Probability Theory, Statistics and Optimization, including regression analysis, parameter estimation, factors selection, PCA, hypothesis testing, time series, queuing theory, survival analysis, clustering, linear programming. Experience with machine learning methods, such as more »

in the skills needed to deploy deep learning, ideally through Tensorflow, including transformer architectures. Natural language processing capabilities, including skills in sentiment analysis and using and localising large language models (transformers), ideally through the Hugging Face platform to understand and match similar texts. Maths skills and knowledge more »