MORE ABOUT THIS JOB Associate-Intermediate/VP with Goldman Sachs & Co. LLC in New York, NY.
Work Schedule: 40 hours per week (9:00 a.m. to 6:00 p.m.)
RESPONSIBILITIES AND QUALIFICATIONS Duties: Associate-Intermediate/VP with Goldman Sachs & Co. LLC in New York, NY. Identify new sources of equity alpha returns by studying financial market movements with resource tools such as Bloomberg, and reviewing extensive academic and financial industry literature. Research and source relevant equity market databases and conduct quantitative research to develop new equity alpha factors to improve portfolio alpha model using Python and Matlab. Oversee verification of daily alpha model and risk model generation for equity markets in the non-US developed markets with focus on data from WorldScope, IBES, and Compustat. Oversee rebalancing of global equity portfolios using advanced portfolio construction techniques such as linear, quadratic, and integer programming through Axioma-based optimizer. Sign off on final optimization results for portfolios under management and communicate with the portfolio construction team. Prepare analysis and research presentations for senior business leaders and other members of the portfolio management team using PowerPoint. Perform internal portfolio performance reviews for portfolio managers and research analysts. Oversee backtesting of the new global equity strategies using Axioma-based optimization tools.
Job Requirements: Master's degree or Bachelor's degree (U.S. or foreign equivalent) in Finance, Economics, Mathematics, Financial Engineering or a related field. Master's degree plus three (3) years of experience or Bachelor's degree plus five (5) years of progressively responsible experience in the job offered or related finance position. Must have three (3) years of experience (if Master's degree) or five (5) years of experience (if Bachelor's degree) with: Sourcing relevant, large volume data and performing quantitative research of new equity alpha factors using quantitative methods including econometrics, statistics, natural language processing, machine learning, univariate and multivariate Fama-MacBeth regression, and time series analysis, utilizing understanding of financial concepts on risk premiums, behavioral finance, and equity valuation; Managing equity portfolios in the global context; Applying knowledge of portfolio optimization theories, such as capital asset pricing model and arbitrage pricing theory, information ratio and information coefficient, and mean-variance optimization, on equity returns and risk models to achieve high-risk-adjusted portfolio returns; Conducting quantitative performance attribution and portfolio performance reviews; Delivering presentations on quantitative research results and detailed portfolio views; Using financial resource tools such as Bloomberg. Must have two (2) years of experience with: Conducting quantitative research with scientific computation software such as MATLAB or R; Using at least one scripting language such as Python to conduct machine learning and natural language processing-related research, and to process large unstructured datasets; Using database languages such as SQL.
ABOUT GOLDMAN SACHS The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.