Quantitative Data Engineer – GDFI – Experienced Hire

Key Skills

C++, Data pipelines, Data science techniques, Effective communication skills, Leadership Skill, Linux Operating system, matplotlib, NumPy, Pandas, Python Programming

Job Description

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 a Bachelor’s degree in a quantitative discipline such as mathematics, physics, or computer science. Postgraduate degree is preferred
• Experience with the Python data science stack e.g., NumPy, Pandas, Matplotlib
• Experience with numeric data storage methodologies, e.g., hdf5
• Experience processing large 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
• 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.