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Quantitative Developer

Dime Line Trading, Inc.
Chicago, IL, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source
find.jobs

Tech stack

Application Programming Interfaces (APIs) Algorithmic Trading Computer Programming Python (Programming Language) Linux System Administration Machine Learning Object-Oriented Software Development SQL Databases Information Technology Low Latency

Job description

  • Independently conduct research with a focus on statistical and predictive models
  • Manage all aspects of the research process, including methodology selection, data collection and analysis, prototyping, backtesting, and performance monitoring
  • Maintain and clean datasets with an eye for missing or incorrect data
  • Evaluate new datasets for predictive potential
  • Implement models in Python
  • Enhance and improve the trading system, working on operational tasks as needed
  • Other duties as assigned

Requirements

  • A degree in Math, Computer Science, or related field
  • 3 years of related experience
  • Strong programming skills
  • Any amount of experience conducting research on datasets and designing, developing and implementing statistical and machine learning models from this data

  • Any amount of experience testing and improving low latency optimization models for use in production settings in Linux environments

  • Any amount of experience analyzing and improving central limit order book statistical trading algorithms
  • Any amount of experience developing and maintaining Object Oriented codebases/libraries
  • Any amount of experience interacting with and manipulating SQL databases and APIs to facilitate development of real time models
  • Predictable and reliable availability

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