Job Responsibilities: -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. -Establish protocols for data injection, processing, quality assurance, anomaly detection and archiving, and streamline and improve processes. -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. -Develop and maintain quantitative research tools. Qualifications: -Bachelor's degree or higher in computer science or a related technical area. -1-5 years of experience in programming for a professional setting. -Proficiency in the Python programming language and its scientific computing ecosystem (numpy, Pandas, Arrow, etc.) is preferred. -Familiarity with the state-of-the-art data engineering ecosystem is a plus. -Experience in processing financial data is a plus. -Experience in machine learning is a plus. -Knowledge of quantitative research and trading is a plus. -Being fast, rigorous and critical in thinking. -Effective communicator with a strong sense of teamwork. -Highly motivated and capable of thriving in a fast-paced environment.