Technology is core to the success of our business. We are on the leading edge of low-latency and high-performance trading and our technology drives every aspect of our business. Our developers and engineers work together to build solutions using the newest and fastest technology available. We work in a complex, distributed environment where we continually strive to improve systems capacity, increase speed, ensure stability, and mitigate risk in every system.
As a quantitative data developer 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.
* PhD, masters, or B.Sc. in a technical discipline
What we're looking for
Requirements and skills
* Experience with the Python data science stack: NumPy, pandas etc.
* Experience with numeric data storage methodologies: hdf5, parquet etc.
* 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 does not accept unsolicited resumes from recruiters or search firms. Any resume or referral submitted in the absence of a signed agreement will become the property of SIG and no fee will be paid.
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