Quant and Machine Learning Researcher
October 20
Description
• Work with large datasets to predict and test crypto market patterns • Develop mid-term and long-term trading strategies using statistical analysis and machine learning methods • Design and implement scalable machine learning frameworks and systems • Develop and continuously improve machine learning, and translate algorithms into code • Back test and implement trading models and signals in a live trading environment • Collaborate with cross-functional teams to collect and preprocess data for training and evaluation of ML models targeted as anomaly detection • Stay up to date with the latest trends and advancements in machine learning research, anomaly detection techniques, and Web3 technologies to constantly improve research direction
Requirements
• Advanced training in Physics, Computer Science, Mathematics or other highly quantitative fields (eg. focus on machine learning, artificial intelligence or similar domains) • Prior experience in a data driven research environment • Strong working experience with financial and trading models • Strong background in machine learning, including deep learning, unsupervised learning, or transfer learning techniques • Solid understanding of machine learning algorithms, statistical modeling, and optimization techniques • Hands on programming experience in scripting (e.g. Python) and/or compiled languages (e.g. C++) • Experience working with machine learning libraries (e.g., TensorFlow, PyTorch) and Web3 frameworks (e.g., Web3.js, ethers.js). • Good knowledge and understanding of blockchain technologies, as well as a passion to learn more • Ability to work independently as well as collaboratively with teammates in a distributed setting
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