IMC Trading
This range is provided by IMC Trading. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $200,000.00/yr - $275,000.00/yr
Additional compensation types Annual Bonus
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
Curate, cleanse, and validate large volumes of market data, focusing on US equity and equity option
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 environment
Perform data analysis and 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
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
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Research and Finance
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Base pay range $200,000.00/yr - $275,000.00/yr
Additional compensation types Annual Bonus
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
Curate, cleanse, and validate large volumes of market data, focusing on US equity and equity option
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 environment
Perform data analysis and 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
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
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Research and Finance
#J-18808-Ljbffr