The company is looking to develop innovative trading strategies and support data-driven decision-making by hiring a Quantitative Researcher to curate and analyze trading-related data.
Requirements
- 3+ years of experience in a quantitative research or data-focused role in financial markets, ideally in a systematic trading environment
- Proven experience working with a diverse range of trading and financial data
- Hands-on experience integrating and analyzing non-market data sources is a plus
- Strong understanding of data vendor landscape
- Advanced proficiency in Python
- Experience with databases (SQL) and handling large datasets efficiently
- Familiarity with real-time data systems and tick-level data processing
Responsibilities
- Curate, cleanse, and validate large volumes of market data, focusing on US equity and equity options
- Integrate, preprocess, and evaluate fundamental & alternative data sources
- Build and maintain robust data pipelines for research and live trading environments
- Perform data analysis ad statistical modeling to identify patterns and inefficiencies in the market
- Ensure the accuracy, completeness, and timeliness of datasets used in quantitative modeling.
- Document research processes, data provenance, and results with high standards of clarity and reproducibility
- Collaborate with software engineers and traders to translate research into production-grade models and tools
Other
- Exceptional attention to detail and a systematic approach to problem-solving
- Strong written and verbal communication skills
- Collaborate closely with trading, technology, and data acquisition teams
- Work closely with data acquisition & global data team to assess data quality
- Conduct quantitative research and analysis to support and enhance trading strategies
