Quantitative Research Associate
JPMorgan Chase - New York City, NY
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DESCRIPTION:Duties: Collect, clean and analyze large-scale data sets to extract information to enhance various quantitative models. Research machine-learning techniques to enhance the performance of alpha models. Lead internal technology teams to implement the research outcomes in operational processes. Apply Natural Language Processing (NLP) techniques to analyze textual data. Present research output to senior portfolio managers with recommendations for operational changes. Conduct research on fundamental factors to enhance alpha model. Test risk models of stock volatility and covariance in portfolio optimizations. Formulate portfolio optimization problems, relating constants and variables, restrictions, alternatives, conflicting objectives, and their numerical parameters.QUALIFICATIONS:Minimum education and experience required: Master's degree in Financial Engineering, Computational Finance, Mathematical Finance, Statistics or related field of study plus 2 years of experience in the job offered or as a Quantitative Research, Financial Quantitative Analyst, Financial Risk Management Analyst, or related occupation.Skills Required: Requires experience in the following: Machine learning; econometrics; financial economics; portfolio optimization using risk models; backtesting optimized portfolio strategies using vendor platforms including Barra, ITG, and Axioma; programming in statistical packages in any one of STATA, R, Matlab, Python or SAS; and constructing, maintaining and analyzing large data sets and databases.Job Location: 277 Park Avenue, New York, NY 10172. Telecommuting permitted up to 40% of the week.Full-Time. Salary: $215,000 - $215,000 per year.
Created: 2024-06-15