Curate, cleanse, validate, and maintain large US equity and options datasets; integrate fundamental and alternative data; build data pipelines for research and trading; perform statistical and ML analysis to identify market patterns; document data provenance and collaborate with engineers and traders to deploy production-grade models.
We are seeking a highly analytical and detail-oriented Quantitative Researcher to join our dynamic research team. The ideal candidate will have deep experience curating and analyzing a broad range of trading-related data sources-including traditional market data, fundamental datasets, and other vendor-supplied information. This role will contribute to the development of innovative trading strategies, support data-driven decision-making, and collaborate closely with trading, technology, and data acquisition teams.
Key Responsibilities:
Required Skills & Experience:
#LI-DNP
Key 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
- Work closely with data acquisition & global data team to assess data quality
- 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
- Conduct quantitative research and analysis to support and enhance trading strategies
Required Skills & Experience:
- 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
- Must have previous knowledge of options markets and experience working with options 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
- Familiarity with statistical and machine learning techniques
- Exceptional attention to detail and a systematic approach to problem-solving
- Strong written and verbal communication skills
#LI-DNP
Top Skills
Databases
Machine Learning
Python
Real-Time Data Systems
SQL
Tick-Level Data Processing
IMC Trading Chicago, Illinois, USA Office
IMC Chicago opened its doors in 2000, becoming our first overseas office. It now hosts more than 650 employees, making it the largest IMC location. Home to the Chicago Mercantile Exchange (CME) and the Chicago Board Options Exchange (CBOE), the city is at the centre of the global market.
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