Quantitative Data Engineer – Gdfi – Experienced Hire
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As a quantitative data engineer you will be working together with the quantitative research and trading teams, as well as with the trading strategy developers to:
- source and cleanse data, develop and maintain data pipelines as required by quant research and trading
- assist with researching trading opportunities by extracting information from datasets, visualizing the results, generating automated reports, and communicating them with traders; develop, deploy, and maintain interactive and packaged reports that will directly influence trading strategies
- performance-tune existing applications and processes, improve existing codebases and data flows to allow for efficient processing of large datasets
- Minimum requirement is a Bachelor’s degree in a quantitative discipline such as mathematics, physics, or computer science. Postgraduate degree is preferred
- Experience with the Python data science stack e.g., Num Py, Pandas, Matplotlib
- Experience with numeric data storage methodologies, e.g., hdf5
- Experience processing large datasets
- Experience working in a Linux environment
- Ability to understand mathematical algorithms and develop high-performance implementations
- Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers
- Interest in areas such as capital markets, probability, game theory and the application of quantitative solutions to these areas is a plus
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