We are seeking a Data Scientist to join our Quantitative Research team. The ideal candidate is passionate about data and has a solid background in Mathematics and Statistics. You will work on developing machine learning models for analyzing trading signals, managing ML production pipelines, and help build more sophisticated models for trading.
Key Responsibilities:
● Develop, deploy, and maintain machine learning models in production.
● Analyze and model time series data for forecasting and decision-making.
● Apply dimensionality reduction techniques such as PCA, SVD.
● Build end to end ML models from creating historical and live datasets to deploy to production.
● Collaborate closely with data engineers and quantitative researchers to optimize data-driven strategies.
Requirements
● Minimum 3 years of experience in data science or a related role.
● Bachelor's or Master’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field
● Proficiency with Python and popular machine learning libraries (e.g., scikit-learn)
● Strong knowledge of SQL and experience working with large datasets.
● Solid understanding of machine learning production methods.
● Familiarity with time series modeling techniques is a plus
Benefits
