MRINetwork · 1 week ago
Python Software Engineer - Commodities
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Human Resources
Insider Connection @MRINetwork
Responsibilities
Understand business challenges and drive technical/quantitative solutions
Partner with trading, research, and data teams to deliver custom solutions and key initiatives
Develop data analytics tools and work with large datasets, including sourcing innovative and new data
Integrate models into the commodities technology framework
Integrate data and insights into models, reports, and investment processes
Partner with analysts to develop scalable tools leveraging machine learning and deep learning models
Become an expert on Citadel systems and technology to support accelerating integration of data analytics
Qualification
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Required
Outstanding Python skills including packages such as pandas, numpy, statsmodels, sklearn, scipy, matplotlib, tensorflow
Time series analysis, mining skills, numerical methods and statistical tools, including PCA and regression
Experience sourcing and structuring data sets, including experience with SQL
Great communication skills, both written and oral
Preferred
Experience working with distributed compute infrastructure
Experience with machine learning techniques, time series analysis and econometrics
Experience in Deep Learning: DNN, CNN, RNN/LSTM, GAN or other auto encoder
Jupyter, PyCharm and Anaconda expertise
C++
Basic understanding of commodities
Company
MRINetwork
We’ve been a leader in the recruitment industry since 1965, when the late Alan R.
Funding
Current Stage
Late StageCompany data provided by crunchbase