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IMC Trading

Quantitative Researcher

Posted 9 Hours Ago
Be an Early Applicant
Hybrid
Chicago, IL
Junior
Hybrid
Chicago, IL
Junior
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.
The summary above was generated by AI
Your Core Responsibilities
  • Collaborate with Traders to evaluate and enhance the performance of IMC's existing proprietary trading models using advanced mathematical and analytical methods.
  • Design quantitative methods to gather and analyze historical market data, trading statistics or new data sources and use the result of that research as the basis for new trading strategies.
  • Translate trading strategies into mathematical models, algorithms, and other complex computational programs to realize the combined vision of the trading team.
  • Build custom computational data analysis tools to explore new quantitative research ideas; design mathematical models to test, visualize and refine trading ideas before implementation.
  • Apply rigorous analytical and quantitative techniques to solve complex problems presented by new and existing proprietary trading strategies.
  • Coordinate with developers to implement new and improved quantitative trading models and launch them into production on IMC's proprietary trading platform.
  • Conduct all quantitative trading research, development, and implementations according to internal best practices to keep IMC's trading ecosystem logical and consistent.

Partial telecommuting permitted. Multiple positions available. Requisition Number: 4453348101
Your Skills and Experience
This position requires a Masters degree, or foreign equivalent, in finance, financial mathematics, financial engineering, computational mathematics or similarly quantitative and mathematical field and six (6) months of experience in the job offered or a quantitative and mathematical role or a related position.
Must have demonstrated experience in each of the following skill(s):
  • Application of analytical and quantitative techniques to solve complex problems
  • Design and implementation of mathematical models and algorithms;
  • Development and use of computational data analysis tools for research
  • Statistical programming techniques and best practices;
  • Financial theory, financial mathematics, or financial engineering.

Skills can be gained concurrently or as part of education curriculum, co-op, or internship.
#LI-DNI

Top Skills

Algorithms
Mathematical Models
Quantitative Analysis Tools
Statistical Programming

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