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Quantitative Trading Strategist

2 weeks ago


Singapore beBeeMachineLearning Full time
Quantitative Researcher

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.
Required Skills and Qualifications:
  • 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.
Key Responsibilities:
  • Data wrangling, cleaning, and transformation for financial datasets.
  • Familiarity with basic trading concepts, market microstructure, or portfolio construction is beneficial.