Parallel Partners-posted 5 months ago
$100,000 - $300,000/Yr
Full-time • Mid Level
Chicago, IL
1-10 employees

We are currently looking for a Quantitative Researcher with Machine Learning experience for a great opportunity. The company participates in a wide variety of marketplaces including global futures, equities, commodities, options, fixed income, and cryptocurrencies. Their culture emphasizes teamwork and focuses on continuous integration and test-driven development. This position is 100% Remote.

  • Designing, developing, and enhancing python data science tools and frameworks.
  • Working collaboratively with multiple trading teams.
  • Conducting alpha research.
  • Identifying new trading opportunities.
  • Monitoring models in production.
  • Bachelor’s in mathematics, physics, computer science, or a related quantitative field with at least 4 years of relevant work experience or a Masters/PhD in mathematics, physics, computer science, or a related quantitative field with at least 2 years of relevant work experience.
  • Strong GPA (3.5 or higher).
  • Strong knowledge of probability, statistics, and machine learning for time-series data.
  • Excellent programming skills in Python (C++ familiarity is a plus).
  • Experience with software engineering best practices including TDD and CI/CD.
  • Experience with distributed computing.
  • Prior experience developing on a Linux stack.
  • Effective prioritization while being mindful of long-term objectives.
  • Able to take ownership of projects in a fast-paced collaborative environment.
  • Strong attention to detail.
  • Outstanding communication skills to collaborate with different stakeholders across multiple geographical locations.
  • Practical experience applying machine learning techniques for trading applications.
  • Experience with high-performance computing (HPC) environments such as SLURM.
  • Experience with orchestration and containerization tools (e.g. Singularity, Docker, Airflow, Prefect, etc.).
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Health savings account
  • Life insurance policy
  • Short-term/long-term disability insurance
  • Employee assistance program
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