Data Analysis Specialist
1 week ago
We are seeking a highly motivated and technically skilled Quantitative Analyst to join our research team. This role involves both research and implementation, with a strong emphasis on data processing, analysis, and strategy development for trading ideas.
- Process, clean, and transform large, multi-source financial datasets to facilitate data-driven decision making.
- Perform in-depth quantitative analysis to support trading, research, and portfolio management strategies.
- Conduct rigorous backtesting and performance attribution for new and existing trading strategies.
- Create clear and insightful visualizations to communicate research findings, model results, and strategy performance metrics.
- Collaborate with senior researchers to design, implement, and optimize machine learning models for trading signal generation.
Key Responsibilities:
We are looking for an individual who is passionate about data analysis and has a strong foundation in programming languages such as Python. The ideal candidate will have experience with time-series analysis, backtesting frameworks, and data visualization tools.
Requirements:
- 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, PyTorch/TensorFlow).
- Proficiency in data visualization tools and libraries (Matplotlib, Plotly, Seaborn).
- Solid understanding of machine learning concepts; familiarity with deep learning architectures preferred.
- Experience with time-series analysis and backtesting frameworks is a plus.
- Good knowledge of data wrangling, cleaning, and transformation for financial datasets.
- Understanding of basic trading concepts, market microstructure, or portfolio construction is an advantage.
- Strong analytical, problem-solving, and communication skills.
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