Quantitative Researcher - Data Curation

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 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

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.