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:
1. Source and cleanse data, develop and maintain data pipelines as required by quant research and trading
2. Assist with researching new trading opportunities;
3. Develop, maintain and deploy interactive and packaged reports that will directly influence trading strategies
4. 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
5. PhD, Masters or in a technical discipline
6. Experience with the Python data science stack: NumPy, pandas etc.
7. Experience with numeric data storage methodologies, hdf5
8. Experience with processing of large and varied data sets
9. Experience of working in a Linux environment
10. Ability to understand mathematical algorithms and develop high-performance implementations
11. Strong interpersonal andmunication skills for interacting with traders, quantitative analysts, and other software developers
12. 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. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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Job ID 8692