Our team is to develop machine learning/deep learning models for alpha signal forecasting in order to be used in trading strategies. We’re looking for data scientists and machine learning engineers. In our team, you will work on market research, identifying alpha signal opportunities, creating forecasting models to capture the alpha signal in advanced, and developing system to produce the signals systematically. You will work closely with data engineers, infrastructure developers and other machine learning researchers.
Job Description
• Research and development of applying machine learning models in financial market related forecasting
• Data collection, cleaning and analysis • Design and implement new features and forecasting models
• Validate and evaluate the proposed forecasting models
• Performance tuning and hyper-parameters tuning
• Develop the automation process for forecasting models’ signal generating
• Co-work with infrastructure developers to deploy forecasting models in production.
Requirements
• Master or PhD degree in Computer Science, Information Science, Mathematics, Statistics, or other related areas
• Programming languages: Python and C++
• Good theoretical foundation of machine learning and data mining
• Good mathematics and statistic knowledge
• Familiar with modeling, algorithms and optimizations
• Strong ability in problem-solving.
• Familiar with machine learning related framework, such as TensorFlow and PyTorch.
• More than 1 year experience in building machine learning models
• Good reading and writing in English, limited speaking capacity is acceptable
Good to Have
• Experience in cloud computing, such as AWS and GCP
• Experience in natural language processing (NLP) and web crawler
• Familiar with SQL/NoSQL database and SQL-like programming languages
• Familiar with Gitlab CI/CD, Docker, Linux Bash and Windows Cmd.