Mid-level Quantitative Developer
Tasks
- Build anomaly detection pipelines
- Collaborate with quantitative researchers
- Conduct data analysis and data mining
- Design research data platforms
- Develop and maintain quantitative research tools
- Develop and optimize data platforms
- Implement data injection and processing
- Maintain data archiving
- Onboard new datasets with partners
- Perform data quality assurance
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | C++ | Data Engineering | Data Mining | Data Processing | Data Quality | Financial Data | Financial Data Processing | Machine Learning | Python
Education
Roles
Developer | Quant | Quant Developer | Quantitative Developer
Regions
Countries
States
Cities
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