MORE ABOUT THIS JOB:
Associate 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 with Goldman Sachs & Co. LLC in New York, NY. Multiple positions available. Function as Quantitative Engineer, responsible for independently performing quantitative analysis of private equity and private credit investments and funds. Design and implement models, algorithms, and analytics tools using Slang, Goldman Sachs’ proprietary programming language, along with Python, Java, R for financial modeling and statistical/machine learning analyses. Develop mathematical financial models (e.g. Black-Scholes model, Monte Carlo Simulation) for evaluating Merchant Banking Division (MBD) investments, optimizing investment structure and pricing, as well as calculating risk metrics. Enhance models and drive the creation of critical internal reporting materials for stress testing our investments and portfolio, including as part of Federal Reserve required CCAR and DFAST processes. Participate in communicating the outcomes of quantitative analyses on investments and funds to MBD senior management and external investors to assist their investment and fund construction decisions.
Job Requirements: Master’s degree (U.S. or foreign equivalent) in Financial Engineering, Quantitative Finance, Mathematical Finance or a related field. One and a half (1.5) years of experience in the job offered or related quantitative financial modeling position. Prior work experience must include one and a half (1.5) years of experience with: Modeling financial instruments (including fixed income assets and derivatives); Applying knowledge of mathematical optimization techniques, probability theory and stochastic calculus to develop analytical solutions for US medium and large-sized corporate clients; Performing quantitative analysis using knowledge of probability theory and mathematical optimization techniques to evaluate returns across fixed income, equity and derivatives; Designing and programming mathematical financial models (such as Black-Scholes model and Monte Carlo simulation) for asset pricing; Writing software for financial services using a variety of modern scalability techniques including web-based solutions, distribution and micro-service architecture; and Working with any of the following programming languages: Java, C++, Python, R, or Matlab.
ABOUT GOLDMAN SACHS:
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
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