Quantitative Trader - Equity (New York)

As a Quantitative Trader, you will utilize an in-house trading system—among the fastest and most sophisticated in the world—to develop and deploy algorithmic trading strategies driven by patterns in market behaviour.Responsibilities:Designing, implementing, and deploying trading algorithmsExploring trading ideas by analyzing market data, market microstructure, and alternative data sources for patternsCreating tools to support data analysis and pattern recognitionContributing to libraries of analytical computations used for market data analysis and strategy developmentDeveloping, refining, and calibrating exchange simulatorsQualifications:A Bachelor's, Master's, or PhD degree from a top-tier university in Mathematics, Statistics, Computer Science, or a related STEM fieldExperience in high-frequency or quantitative trading is preferred but not requiredStrong foundation in mathematics and statisticsProficiency in back-testing, simulation, and statistical techniques such as auto-regression, auto-correlation, and Principal Component AnalysisSolid skills in data mining and analysis, with experience working with large datasetsFamiliarity with signal generation and statistical modellingStrong programming abilities in Python and/or C++For more info please reach out to Laura at laura@qenexus.com.