Aqr Capital Management - Greenwich, CT
posted 3 months ago
As a Quantitative Research Analyst at AQR Capital Management, you will play a pivotal role in developing and maintaining trading strategies in collaboration with researchers and portfolio managers. Your primary responsibilities will include performing data analysis, portfolio optimization, and risk management, utilizing programming skills to implement investment strategies effectively. You will drive insights into the translation of stock characteristics into factor portfolios, allocating weights across factors in alpha models, and enhancing non-alpha inputs to the investment process, including risk and transaction cost models. Additionally, you will mentor other team members on these components, improving the portfolio optimization process under real-world constraints and enhancing the constrained optimization and attribution framework. Your role will also involve maintaining and improving portfolio backtests, working closely with other researchers, portfolio managers, and risk managers to assist in and improve the implementation of investment strategies. You will engage in financial and economic research of current and historical financial data, contributing to the development of quantitative investment strategies. This includes performing financial, statistical, machine learning, and economic research using financial data related to systematic strategies to improve existing and generate new alpha signals. You will be responsible for adding features to the research system to implement new research ideas and participating in the design and development of research infrastructure for conducting economic and statistical research. In this position, you will apply linear algebra and optimization techniques to portfolio construction and signal generation, as well as panel and time-series econometrics methods to financial data. You will also apply statistical principles to financial data analysis, program data analysis in Python or another object-oriented programming language, and conduct SQL programming for data storage and analysis. Data visualization, summarization, and analytics in Excel will also be part of your responsibilities, along with applying economic and financial concepts involving equity markets, such as investment valuation, mean-variance analysis, asset pricing models, and multi-factor models. Telecommuting is permitted for up to 2 days per week, allowing for a flexible work environment.