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Quantitative Trading Strategist
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We seek a skilled and detail-oriented quantitative researcher to join our research team. The ideal candidate will have expertise in designing, implementing, and optimizing machine learning models for trading signal generation.
- Analyze large financial datasets from various sources and develop data pipelines for seamless integration.
- Collaborate with senior researchers to design, implement, and optimize ML models for trading signal generation.
- Conduct rigorous backtesting and performance attribution for new and existing strategies.
- Create clear and insightful visualizations to communicate research findings and model results.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong programming skills in Python (NumPy, pandas, scikit-learn).
- Proficiency in data visualization tools (Matplotlib, Plotly, Seaborn).
- Solid understanding of machine learning concepts; familiarity with deep learning architectures preferred.
- Experience with time-series analysis and backtesting frameworks is an advantage.
- Data wrangling, cleaning, and transformation for financial datasets.
- Familiarity with basic trading concepts, market microstructure, or portfolio construction is beneficial.