Our Client, a high-frequency proprietary trading firm founded in 1998, seeks Quantitative Research Analysts.As a member of one of their trading teams, a Quantitative Research Analyst uses an in-house trading system one of the fastest and most comprehensive in the world to develop and deploy algorithmic trading strategies based on patterns in market behavior.ResponsibilitiesThe Quantitative Research Analyst will be responsible for:Designing, implementing, and deploying high-frequency trading algorithmsExploring trading ideas by analyzing market data and market microstructure for patternsCreating tools to analyze data for patternsContributing to libraries of analytical computations to support market data analysis and tradingDeveloping, augmenting, and calibrating exchange simulatorsQualificationsThe ideal candidate will have:A PhD from a top-tier university1-3 years of research experience in high-frequency tradingA strong background in mathematics and statisticsProficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick dataFamiliarity with signal generation and statistical modelsStrong programming skills in C++, MATLAB, and RBenefitsOur Clients offices and garden roof deck are located in TriBeCa, a neighborhood in downtown Manhattan. While employees work hard, their cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:Competitive salarySigning and performance-based bonuses401(k) with company matchingFive weeks of paid vacation per year plus nine paid holidaysFree breakfast, lunch, and snacks on a daily basisFree gym membershipFree tickets to New York events, including the US Open and TriBeCa Film FestivalPhD, Statistics, C++, Modeling
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