![]() ![]() Strong programming skills in either C++ / Python.Global Macro funds do not pursue dynamic trading strategies. Quantitative background - includes advanced degrees ( PhD) in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics find that based on the qualitative grouping of strategies, a strategy called Global Emerging.Team leadership experience is desirable.A background in statistical research for systematic investment management activities (returns forecasting, risk modelling, market impact modelling etc).Experience of building and running systematic trading strategies.Prior to BCA, Peter worked as a Senior Global Economist. Extensive experience in financial data analysis with a focus on a highly rigorous and technical approach to modelling. Peter focuses on analyzing global economic and financial market trends.3 + years prior experience on the buy side developing global Systematic Macro strategies with exposure to Equites, FX, EM FX, Commodities and Rates.The opportunity to deploy capital across FX, EM FX, Rates, Commodities and Equites asset classes.The opportunity to make an impact on the continued build out of Systematic Macro infrastructure. ![]() Delivering high quality statistical research output against our research goals. Global macro is an investment strategy that leverages macroeconomic and geopolitical data to analyze and predict moves in financial markets. ![]()
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