IMC Trading

Proprietary trading using quantitative strategies

Quantitative Researcher - Data Curation

Quantitative ResearchConfirmed live in the last 24 hours

Full-timeChicago, IL, USAIn-person

About the Job

Requirements

At least 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.
Knowledge of options markets and experience working with options data.
Strong understanding of the data vendor landscape.
Advanced proficiency in Python.
Experience with databases using 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.

Responsibilities

Curate, cleanse, and validate large volumes of market data, focusing on US equity and equity options.
Integrate, preprocess, and evaluate fundamental and alternative data sources.
Work closely with the data acquisition and global data teams to assess data quality.
Build and maintain robust data pipelines for research and live trading environments.
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.

Desired Qualifications

Hands-on experience integrating and analyzing non-market data sources.

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.

Your Core 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

Your Skills and 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

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Salary Range

$250,000—$300,000 USD

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.

Salary Range 250000 - 300000 USD

About the Company

IMC Trading

Proprietary trading using quantitative strategies

IMC Trading is a global proprietary trading firm that uses technology and quantitative strategies to trade financial instruments such as stocks, options, and futures with its own capital. It operates in major markets (Amsterdam, Chicago, Sydney) and serves a diverse client base including institutional investors and individual traders. The company identifies market inefficiencies through advanced algorithms and data analytics, with teams of mathematicians, technologists, and traders who continuously improve strategies and build in-house solutions. Unlike firms that manage external funds, IMC trades for its own balance sheet, aiming to earn profits by executing high-frequency and systematic trades across global markets. Its approach centers on a culture of curiosity, continuous improvement, and collaboration, aiming to optimize markets while fostering an inclusive environment where employees can contribute meaningfully.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Amsterdam, Netherlands
Founded: 1989

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