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We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology - powering our insights and analysis. This unique combination has made us leaders in alternative and \ntraditional strategies since 1998. AQR takes a systematic, research-driven approach, applying quantitative tools to process fundamental information and manage risk. Our clients include institutional investors, such as pension funds, insurance companies, endowments, foundations, and sovereign wealth funds, as well as financial advisors.\nJob description: \nThe Team \nTechnology has long been essential ingredient to our success, and as a Quant Research Engineer you will be knee-deep in mission critical challenges that make our investment ideas a reality. Collaborating side by side with researchers and portfolio analysts, you will be responsible for designing and implementing proprietary systems and tools that drive the quantitative strategy research and systematic investing that powers AQR. \nYour Role \nAs a Quant Research Engineer, you will build or extend our: \nGlobal asset signal, data and risk estimation infrastructure incorporating millions of data points \nIntuitive research APIs leveraging cloud computing and cutting-edge visualizations \nHigh-performance historical simulation/back testing engine for vetting new alpha strategies \nBespoke technology solutions that satisfy the needs of specific asset classes and research needs \nPartner with not only local but also global team of research engineers for successful product delivery \nWhat You’ll Bring\n BS/MS in Computer Science, Computational Finance, Data Science, or related discipline \n3+ years of experience as a programmer with expertise in python\nExperience with database 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