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Quantitative Data Engineer – GDFI – Experienced Hire
3 weeks ago
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 trading opportunities by extracting information from datasets, visualizing the results, generating automated reports, and communicating them with traders;develop, deploy, and maintain 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 datasets What we're looking forMinimum requirement is B.Sc. in mathematics with 2 years python experience. Advanced degree such as M.Sc. or PhD in a quantitative discipline is preferred. Experience with the Python data science stack e.g., NumPy, Pandas, Matplotlib Experience with numeric data storage methodologies, e.g., hdf5 Experience with processing of large and varied datasets Experience 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 quantitative 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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