Source description
About the role
Job Responsibilities:
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Design, develop, maintain, and optimize in-house research data platforms (including price volume, fundamental, and alternative data), providing quantitative researchers with reliable, high-quality, and stable data sources and analysis tools.
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Establish protocols for data injection, processing, quality assurance, anomaly detection and archiving, and streamline and improve processes.
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Work with external partners to onboard new datasets, conduct domain-specific data analysis and data mining for new datasets, and collaborate with quant researchers to evaluate new data sources.
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Develop and maintain quantitative research tools.
Qualifications
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Bachelor's degree or higher in computer science or a related technical area.
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1-3 years of experience in programming for a professional setting.
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Programming skills: proficient in the following programming languages - C++ and Python.
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Familiarity with the state-of-the-art data engineering ecosystem is a plus.
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Experience in processing financial data is a plus.
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Experience in machine learning is a plus.
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Knowledge of quantitative research and trading is a plus.
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Being fast, rigorous and critical in thinking.
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Effective communicator with a strong sense of teamwork.
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Highly motivated and capable of thriving in a fast-paced environment.
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