Big Data Developer

4 days ago


Hong Kong, Central and Western District, Hong Kong SAR China Tower Research Capital Full time
About Us
Tower Research Capital is a high-frequency proprietary trading firm founded in 1998. We are dedicated to providing innovative solutions for quantitative research and trading.

Job Summary
We are seeking a skilled Data Engineer to join our global data service team in Hong Kong or Singapore. The successful candidate will be responsible for designing, implementing, and maintaining data processes and data infrastructures for quantitative research and trading, collaborating with portfolio managers, researchers, and traders to understand their data requirements and find data solutions, onboarding and managing vendor datasets, designing and implementing the infrastructure necessary to support the firm's data management processes, building and maintaining ETL pipelines, contributing to the design and development of Tower data platform, and supporting internal data users (traders, researchers).

Responsibilities
Design, implement, and maintain data processes and data infrastructures for quantitative research and trading Collaborate with portfolio managers, researchers, and traders to understand their data requirements and find data solutions Onboard and manage vendor datasets Design and implement the infrastructure necessary to support the firm's data management processes Build and maintain ETL pipelines Contribute to the design and development of Tower data platform Support internal data users (traders, researchers)

Requirements
Masters in Computer Science, Quantitative Finance, or Information Technology, or equivalent work experience At least 2+ years of experience in Python Familiarity with ETL processes, data modeling, and database design principles Experience with CI/CD processes and DevOps Strong communication and collaboration skills Ability to work autonomously as part of a global team Proficiency in AI/ML techniques for detecting patterns and anomalies Knowledge of referential data and corporate actions Experience in building scalable data systems

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