Research Analyst (Quantitative, Data) @ LSEG

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Role PurposeThe Junior Research Data Analyst will support FTSE Russell's Research team in developing and improving quantitative research capabilities. This role is ideal for someone who combines strong analytical skills with a curiosity about financial markets and thrives in a collaborative research environment.Based in Fort Mill, SC, this position will work closely with our Data team to advance factor research and index methodology development!Key ResponsibilitiesAnalyze and profile financial datasets to identify patterns, trends, and opportunities for factor development and research insightsSupport the development and validation of quantitative factors used in smart beta and index construction methodologiesConvert research concepts into structured datasets and establish efficient research workflows across teamsFacilitate knowledge sharing between research and data teams, ensuring research methodologies are well-documented and transferableConduct quantitative analysis on large financial datasets and present findings through data visualization, reports, and research presentationsSupport data quality initiatives and validation processes for research datasets and factor calculationsCollaborate on research projects focused on equity market analysis, factor investing, and index methodology enhancementContribute to research documentation, including methodology papers, factor definitions, and analytical frameworksCandidate ProfilePython programming skills for data analysis and research applicationsStrong interest in equity markets, factor investing, and quantitative research with eagerness to learnProficiency in SQL and Excel; familiarity with data visualization tools is a plusStrong analytical and problem-solving proficiency with attention to detailCollaborative attitude with ability to work efficiently across research and data teamsBachelor's degree or equivalent experience in a quantitative field (e.g., Finance, Economics, Statistics, Mathematics, Computer Science)Preferred AttributesInterest in academic or industry research in finance, economics, or quantitative methodsFamiliarity with financial markets, index construction, or investment management conceptsInterest in machine learning applications in finance or quantitative researchInterest in pursuing professional development (CFA, FRM, or similar finance certifications)Why Join Us?Be part of a research team at the forefront of factor investing and index methodology development…