Posted: 11h ago
The role
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 tradingassist 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 strategiesperformance-tune existing applications and processes, improve existing codebases and data flows to allow for efficient processing of large datasetsWhat we’re looking forMinimum requirement is a Bachelor’s degree in a quantitative discipline such as mathematics, physics, or computer science. Postgraduate degree is preferredExperience with the Python data science stack e.g., NumPy, Pandas, MatplotlibExperience with numeric data storage methodologies, e.g., hdf5Experience processing large datasetsExperience working in a Linux environmentAbility to understand mathematical algorithms and develop high-performance implementationsStrong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developersInterest in areas such as capital markets, probability, game theory and the application of quantitative solutions to these areas is a plus
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