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
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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