at Magma Capital Funds in chicago, Illinois, United States
Job Description
Dig into current structure of our trading system and performs quantitative research and analysis to improve the performance of live trading. Utilize statistics, programming, and math skills to construct the framework of quantitative research. Build the machine learning pipelines connecting the data base to back-test results, including the implementation of machine learning models, creation of the framework for testing different technical features, automation of hyperparameter tuning, and the application of different mathematic metrics to evaluate the feature and model. Conduct research in cutting edge data science modeling and understand the math deduction behind it. Replicate research models and make improvements. Improve the back-testing system’s accuracy and efficiency. Ensure systems can provide reliable back-testing results of the researched model. Manage a large amount data in the Cloud and server using data programming tools such as SQL, Python, or Spark. Telecommuting is permitted within commutable distance to the office.
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Job Posting:
11490254
Posted On:
Nov 30, 2023
Updated On:
Dec 31, 2023