Overview
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 new trading opportunities.
* Develop, maintain and deploy 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 data sets.
What we're looking for
* PhD, Masters or B.Sc. in a technical discipline.
* Experience with the Python data science stack: NumPy, pandas etc.
* Experience with numeric data storage methodologies, e.g. hdf5.
* Experience with processing of large and varied data sets.
* Experience of 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.
* Experience or interest in areas such as capital markets, probability, game theory and the application of IT solutions to these areas is a plus.
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