IMC Trading

Quantitative Researcher - Data Curation

Reposted 4 Days Ago

Chicago, IL, USA

Hybrid

200K-275K Annually

Mid level

Fintech • Machine Learning • Software • Financial Services

IMC is a proprietary trading firm powered by research and technology.

The Role

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.

Summary Generated by Built In

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

Top Skills

Databases

Machine Learning

Python

Real-Time Data Systems

SQL

Tick-Level Data Processing

What the Team is Saying

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The Company

HQ: Amsterdam

1,954 Employees

Year Founded: 1989

What We Do

IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

Why Work With Us

At IMC, the best ideas win, regardless of hierarchy. Graduates receive mentorship and make an impact from day one, while experienced hires get to shape their own path in a flexible, high-performance environment. We remove barriers so everyone can grow and help drive one of the world’s leading liquidity providers.