Apply math & statistical methods to analyze trading strategies. Model w/ large amounts of data. Compare stat. characteristics of passive/active investments; reveal factors re. mutual fund outperformances. Test risk & return hypotheses to uncover relationships among different investment styles. Identify underlying drivers of different risk premia strategies. Detect factors in econ data to inform investment decisions. Collect econ survey data for est. on stock market valuation. Build trading strategies w/ statistical signals as input & simulate investment returns w/ statistical distributions. Apply risk model on portfolios, sum up stat. findings. Visualize stat. studies online. Interpret fin. data & comm. findings. Adapt new analytical models to investments. Apply machine learning algorithms on fin. contracts, construct analytics on big data. Travel req’d ~10% of time. Min. Req: MS in Stats, Financial Eng or Math, Comp. Fin., Ops Res. or related quant. field. 3yrs exp w/ risk mgmt, fin. or operations modeling, or similar in quant. finance. Exp. must incl. functional programming w/ F# in quant. dev. Proficiency in MATLAB, R, Python scripting lang., big data & machine learning algorithms, web dev. frameworks & libraries. Expert knowledge in Tableau, SQL, risk premia strategies, equity risk models. Xlnt comm skills. Job location: Arlington, VA. CV to KIMC (U.S.), Inc., firstname.lastname@example.org.