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Quantitative Data Engineer

Quantitative Data Engineer

JOB DESCRIPTION
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 for
  • Minimum 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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