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
SIG is not accepting unsolicited resumes from search firms. All resumes submitted by search firms to any employee at SIG via-email, the Internet or directly without a valid written search agreement will be deemed the sole property of SIG, and no fee will be paid in the event the candidate is hired by SIG.
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