Perform programming to enhance and maintain software codebases. Create and analyze complex datasets. Work with cross-sectional and time-series statistical methods; developing and implementing scalable, differentiated, and profitable quantitative signals; working on quantitative research projects, including original idea/inception, back-testing, and implementation; calibrating statistical model parameters to fit data, conducting machine learning and data analysis, and utilizing econometric methods relating to their practical applications in quantitative investing; developing and maintaining low-latency trading systems; building a cutting-edge machine learning stack for developing trading signals; programming with Python, numpy, scikit-learn, and Pandas data manipulation; using algorithms/techniques, including principal component analysis (PCA), lasso/ridge regression, ensemble methods, clustering, and outlier handling; and, developing production-ready software to generate signals in real time.
Requirements:
Bachelor's degree + 5 years of experience. Required skills: Data Analysis, Investing - General, Python, Data Manipulation.
Application Instructions:
Email resume to HRRecruiting@bamfunds.com or mail resume to Hannah Ogren, Balyasny Asset Management, LP, 444 West Lake Street, 50th Floor, Chicago, IL 60606. Must Reference # MP9236305NY. No phone calls.
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