Open Systems Technologies
Quant Researcher
Open Systems Technologies, New York, New York, us, 10261
A financial firm is looking for a
Quantitative Researcher
to join their team in New York, NY.Compensation: $200-250kQualifications:Required10+ years preferred, as a quant, strategist, or quantitative risk officer, at leading hedge funds and/or asset management firms.Strong academic background (masters/doctorate) in quantitative fields such as math, physics, engineering, statistics, economics, or finance.Excellent command of statistics, time series analysis, numerical optimization, and machine learning dealing with large data sets.Strong coding skills required (Python, SQL, pandas, numpy, Kdb+q, C++) & experience in GUI development.Strong experience in factor models and analysis, portfolio optimization, and portfolio performance analytics in commodities, equity, FI, and/or systematic trading environments.Exposure to commodities markets such as electricity, congestion markets, natural gas, crude oil, refined products, energy assets, agricultural commodities, metals, structured transactions, and shipping strongly preferred.PreferredAdvanced Python knowledge including management of virtual environments, release process, or multi-processing.24-01357
Quantitative Researcher
to join their team in New York, NY.Compensation: $200-250kQualifications:Required10+ years preferred, as a quant, strategist, or quantitative risk officer, at leading hedge funds and/or asset management firms.Strong academic background (masters/doctorate) in quantitative fields such as math, physics, engineering, statistics, economics, or finance.Excellent command of statistics, time series analysis, numerical optimization, and machine learning dealing with large data sets.Strong coding skills required (Python, SQL, pandas, numpy, Kdb+q, C++) & experience in GUI development.Strong experience in factor models and analysis, portfolio optimization, and portfolio performance analytics in commodities, equity, FI, and/or systematic trading environments.Exposure to commodities markets such as electricity, congestion markets, natural gas, crude oil, refined products, energy assets, agricultural commodities, metals, structured transactions, and shipping strongly preferred.PreferredAdvanced Python knowledge including management of virtual environments, release process, or multi-processing.24-01357