Education and Experiencebr br Masters degree or foreign education equivalent in Applied Mathematics, Statistics, Economics, Computational Finance, Computer Science, Finance, Quantitative and Computational Finance, or a closely related field and no experience.br br Skills and Knowledgebr br Candidate must also possessbr br Demonstrated Expertise DE performing and deploying quantitative analysis and econometric modeling of global asset classes, using Bloomberg, FactSet, Morningstar, and MSCI BarraOne; translating raw analytics data into investment thesis for sales teams; and developing written and oral presentations to deliver investment recommendations and investment risk diagnostics.br br DE measuring investment portfolio performance attribution, risk budgeting, and factor investing for mutual funds, ETFs, and Separately Managed Accounts, including designing infrastructure solutions, automation, and data architecture to support the delivery of investment data within investment advisor and broker dealer distribution channels, using SQL, VBA, Python, and C.br br DE performing portfolio optimization and asset allocation analytics to align portfolio construction and recommendations with the capital markets expectations and investment philosophy of Investment Advisor and BrokerDealer clients, and to support recommendations to the investment committee and wholesalerrelationship managers, using MPI Stylus and Morningstar Direct.br br DE performing mathematical modeling and programming in MATLAB, R, SPSS, Python, and SQL; and performing complex portfolio construction analyses to support recommendations and provide data visualizations in TableauD3.js for executive and technical and nontechnical audiences using MPIGurobi.br br Expertise may be gained during graduate degree program.
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