Description About this role  Systematic Active Equity (SAE) is the quantitative equity group within BlackRock. We invest our client assets using a systematic investment approach. SAE is a pioneer and thought leader in the industry and has consistently achieved client investment goals across global equity markets for over 30 years. We believe research and innovation is critical to continuing our success and believe in a multi-disciplinary approach that intersects traditional finance and economics with computer and data science.We are seeking a Quantitative Researcher to complement our investment team. The successful candidate is passionately interested in investing, and researching ideas and testing them on historical data to seeing which specific stocks and broad-based factors a portfolio buys and sells resulting from those ideas. This candidate also approaches new data and research ideas with an open mind and a strong belief in the scientific research process. We are able to hire at either the Associate or VP level.We have:$100+ billion USD under management, including $5+ billion in hedge fundsA team of world class researchers, portfolio managers, and data scientistsThrough BlackRock, access to some of the best investors and thought leaders, as well as leading experts in statistics, machine learning and optimizationA 30-year plus track record of performance innovation

Strong understanding of statistical and machine learning concepts, including natural language processing, and strong programing skills in Python and/or from a data pipeline background (AWS, Hadoop, Spark, SQL)

Experience working with data and/or conducting empirical research utilizing large, complex data setsFinancial market experience: asset pricing, portfolio optimization, macroeconomics, global stock selection, or a similar relevant field