Quantitative Developer (Chicago)

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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

Masters degree in Math, Computer Science, or related field

3 years of related experience

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 environment

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

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Industries

Technology, Information and Media

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