Jobs at Scientech Research

Develop and optimize research data platforms supporting quantitative researchers. Build data ingestion, processing, quality assurance, anomaly detection, and archival protocols. Onboard and evaluate external datasets, perform financial data analysis and mining, and develop quantitative research tools. Collaborate with researchers and external partners to deliver reliable data sources and analysis capabilities.

Develop and optimize research data platforms supporting quantitative researchers. Build data ingestion, processing, quality assurance, anomaly detection, and archiving protocols. Onboard and analyze external datasets, collaborate with quantitative researchers to evaluate data sources, and maintain quantitative research tools.

Develop and optimize research data platforms supporting quantitative researchers. Establish data ingestion, processing, quality assurance, anomaly detection, and archiving protocols. Onboard and evaluate external datasets through data analysis and mining, collaborate with quantitative researchers, and maintain quantitative research tools. The role requires professional programming experience, Python expertise, data engineering knowledge, and strong analytical, communication, teamwork, and problem-solving skills.

Assists senior quantitative researchers with strategy design and research across global futures, stocks, and options markets. Analyzes large-scale tick-by-tick financial data statistically to identify alpha patterns and supports quantitative model development.

Conduct statistical analysis on market data to create predictive trading models and strategies, encompassing research and development cycles in equity trading.

Monitor trading activities, execute orders, optimize trading processes, develop tools, and prepare reports while ensuring compliance with trading rules.

The Quantitative Developer Intern will design and implement low-latency trading platforms and high-performance backtesting frameworks using C++ and Python in a cloud environment.

Assist senior quantitative researchers in designing quantitative strategies and analyzing large scale financial data for alpha patterns.

Support and enhance trading strategies, assist in quantitative research and development in various financial markets, and analyze large financial data for insights.

Analyze market and financial data using statistical methods to develop predictive trading models and strategies, covering all research and development phases.

Assist senior quantitative researchers with strategy design and market analysis using statistical methods on financial data.

The intern will design and implement low-latency trading platforms and a high-performance backtesting framework, focusing on C++ and cloud environments.

The Junior Quantitative Researcher will assist in improving trading strategies, conduct quantitative research, and analyze financial data to identify alpha patterns.

The Machine Learning Researcher will build predictive models using deep learning, explore strategies to enhance portfolio performance, and update models based on research. They should have a strong foundation in ML with hands-on experience in relevant domains.

Support month-end close, reconciliations, internal P&L and balance sheet reporting, fund expense allocations, AP/AR and vendor administration, and treasury cash monitoring. Maintain documentation, support ad hoc operational analysis, and contribute to process improvements and automation.

The Junior Machine Learning Researcher will develop predictive models and enhance model robustness using deep learning techniques on financial data, while staying updated on research.