- 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
- 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.
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Software Developer - Sydney, Australia - Susquehanna Pacific
Description
Overview
SIG is one of the world's largest market makers, with a unique approach to trading, technology, and research. While this background puts us at the top of our game, what really makes us successful is our quantitative approach to decision making and the collaboration between our employees.
Quant Data Developer:
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:
What we're looking for