IMC Trading Logo

IMC Trading

Graduate Quantitative Researcher (BS/MS)

Reposted One Month Ago
Hybrid
Chicago, IL
250K-250K Annually
Entry level
Hybrid
Chicago, IL
250K-250K Annually
Entry level
Conduct quantitative research to design, implement, and deploy mathematical trading models. Build custom tools for exploratory analysis, apply rigorous quantitative techniques to solve complex problems, and collaborate with traders and developers to productionize models while maintaining best practices.
The summary above was generated by AI
As a Quantitative Researcher at IMC, your work will directly impact our global trading strategies. You will leverage your superior analytical, mathematical, and computing skills to improve existing models and develop new ones. We will empower you to discover your unique niche and excel, taking on responsibility and ownership from the start. Quantitative Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded.
Your Core Responsibilities:
  • Apply rigorous analytical and quantitative techniques to solve complex problems
  • Build custom tools to explore new research ideas
  • Design mathematical models based upon trading ideas
  • Implement and deploy new models into production
  • Maintain best practices to keep our systems logical and consistent

Your Skills and Experience:
  • Current university student graduating between September 2026 - July 2027 that is pursuing a Bachelor's or Master's degree in Mathematics, Engineering, Statistics, Physics, Computer Science, or another highly quantitative field
  • Has a passion for research and problem solving
  • Approaches data analysis with rigorous thought processes and strong intuition
  • Is a creative thinker who is driven and eager to solve challenging problems collaboratively
  • Proficiency in a programming language (Python, C, C++, etc) is highly desired
  • Must be available for full-time employment starting in February or August 2027

You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.
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.
Base Salary: $250,000

Similar Jobs at IMC Trading

2 Hours Ago
Hybrid
Entry level
Entry level
Fintech • Machine Learning • Software • Financial Services
Architect and co-design machine learning models for custom hardware, accounting for latency, resource, and numerical constraints. Translate model requirements into hardware architecture decisions, collaborate with hardware engineers to implement and verify inference solutions, and deploy systems from proof of concept through production. Evaluate research in neural architecture search, ML systems, quantization, and compiler infrastructure for measurable performance improvements.
Top Skills: AsicsC++CocotbFinnFpgasHlsHls4MlMlirPythonPyTorchSystemverilogTensorFlowTvmUvmVhdlVitis AiXla
Mid level
Fintech • Machine Learning • Software • Financial Services
Supports global recruiting operations by improving processes, managing cross-functional projects, and enabling recruiters and coordinators. Evaluates AI and automation opportunities, pilots recruiting technology, partners with HRIS on ATS systems, creates documentation and training, and translates stakeholder feedback into operational improvements. Requires frequent travel to other offices and focuses on efficient, consistent recruiting outcomes across regions.
Top Skills: Applicant Tracking SystemsArtificial IntelligenceAutomationGreenhouseHris
5 Days Ago
Hybrid
Junior
Junior
Fintech • Machine Learning • Software • Financial Services
Conduct quantitative research for proprietary trading strategies by analyzing high-frequency market data, developing statistical and machine-learning models, building simulations and backtesting tools, and evaluating model performance. Collaborate with traders and developers to validate algorithms, improve pricing and execution, assess production readiness, prioritize research initiatives, and integrate validated models into low-latency trading systems. Mentor graduate researchers and interns.
Top Skills: Algorithm DesignBacktestingDaskDerivatives PricingFinancial MathematicsHigh-Frequency TradingLightgbmLow-Latency Trading SystemsMachine LearningMarket MicrostructureMatplotlibNumbaNumerical OptimizationNumpyOptimizationPandasPolarsPortfolio ManagementPythonPyTorchRegression AnalysisRisk ModelingScikit-LearnScipySimulationStatistical InferenceStatistical LearningStatsmodelsTime-Series AnalysisXgboost

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account