Job Description
Trader (NY, NY): Analyze the behavior of fin'l products, incl fixed income securities, equities, digital assets, & currencies, under varying macroeconomic envrmts & apply statistical techniques such as probability distribution modeling, regression analysis & correlation analysis to formulate & dvlp automated & semi-automated trading strategies in collaboration w/ s/ware engineers. Mnge & optimize daily trading positions in fin'l products, incl equities, bonds, derivatives & complex structured products, by monitoring mkt conditions & making real-time portfolio adjustments. Build & implmt trading models using data analysis of price movements, yield trends, stability metrics, investment-risk indicators & macroeconomic factors affecting internal portfolios. Dvlp & implmt automated & semi-automated ETF trading strategies & optimize execution performance through quantitative analysis. Apply quantitative trading strategies to identify opportunities in fin'l mkts & mnge trading positions accordingly. Monitor macroeconomic, industrial, corporate & geopolitical dvlpmnts affecting global fin'l mkts & eval their impact on trading strategies & portfolio performance. Conduct research on int'l mkts to identify new bus opportunities & assess mkt envrmts relevant to ETF execution decisions. Use statistical s/ware tools to analyze fin'l data, identify trends & dvlp forecasts to support trading strategies & investment decisions. Collab w/ bus dvlpmnt teams to establish relationships w/ trading exchanges, ETF issuers & broker-dealers. Coordinate w/ Quantitative Research, Trading Technology, Operations & S/ware Dvlpmnt teams to identify new trading opportunities & improve system performance, execution speed & risk mngmnt processes. Work w/ Risk Management & Middle Office teams to determine & optimize capital allocation across trading strategies & teams to maximize risk-adjusted returns. Req: Master's in Computational Finance or rel fld + 3 yrs of exp in sim duties/techn'l capabilities using Python, SQL, Linux, Linux commands, bash scripts, knowl of mkt microstructure, CS fundamentals (data structure, algorithms), Machine Learning libraries such as PyTorch, statistical techniques (regression, time-series analysis) & BARRA risk model. $200,000/yr. Submit cvl & resume to HR, FTTNY LLC, hr.newyork@us.flowtraders.com