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
Similar Jobs at IMC Trading
.png){kind=avatar}
Fintech • Machine Learning • Software • Financial Services
As a Quantitative Researcher, the role involves collaborating with traders to enhance trading models, developing strategies through quantitative analysis, and implementing new models into the trading platform.
Top Skills:
AlgorithmsMathematical ModelsQuantitative Analysis ToolsStatistical Programming
Fintech • Machine Learning • Software • Financial Services
This role involves collaborating with traders to enhance proprietary trading models, designing quantitative methods, and implementing mathematical models. Responsibilities include complex data analysis and the creation of customized tools for research and trading strategies.
Top Skills:
C++GitNumpyPandasPythonScipy
Fintech • Machine Learning • Software • Financial Services
The Legal Counsel will provide employment law guidance, draft agreements, lead investigations, and advise HR on compliance and strategic initiatives.
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
