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forecasting python pandas git numpyπ Description
- Collaborate with Traders to improve proprietary trading models using advanced math.
- Design quantitative methods to analyze market data and data sources for trading.
- Translate trading strategies into mathematical models, algorithms, and computations.
- Build data analysis tools; design models to test and refine ideas.
- Apply rigorous analytical techniques to solve problems in proprietary strategies.
- Coordinate with developers to implement models and launch in production on IMC's platform.
π― Requirements
- Analytical and quantitative techniques to solve complex problems.
- Design and implement mathematical models and algorithms (linear modeling, convex optimization) for large-scale data.
- Develop and use computational data analysis tools.
- Statistical programming (Python/C++) and executing independent quantitative projects.
- Time series analysis, applied statistics, and mathematics (probability, linear algebra).
- Implement algorithms and data pipelines using NumPy, SciPy, pandas and Git.
- Experience with time series modeling and forecasting (stochastic processes, state-space).
- Literature reviews and reproducible research.
π Benefits
- Discretionary bonus and benefits including paid leave and insurance
- Benefits - US | IMC Trading
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