Quantitative Engineer

4 weeks ago


New York, New York, United States The Goldman Sachs Group Full time
Job Summary

As a Quantitative Engineer in the Asset and Wealth Management Division at The Goldman Sachs Group, you will be responsible for designing, developing, and implementing quantitative models and algorithms to support the company's trading and investment strategies. You will work closely with traders, portfolio managers, and other stakeholders to identify areas where quantitative analysis can provide insights and support decision-making.

Key Responsibilities

• Conduct statistical and mathematical analysis of financial data to identify patterns and trends
• Collaborate with traders, portfolio managers, and other stakeholders to identify areas where quantitative analysis can provide insights and support decision-making
• Develop and implement proprietary models to support the company's trading and investment strategies

Requirements

• Advanced degree in a related field such as Mathematics, Physics, Computer Science, Financial Engineering, or a related field
• Strong programming skills in at least one language such as Python, R, C++, or Java
• Experience with machine learning, data mining, and statistical modeling
• Strong experience in financial markets, risk management, and time series analysis
• Minimum of 3+ years of experience in a quantitative role in a financial services company

About Us

The Goldman Sachs Group is a leading developer of quantitative models and cutting-edge systems to solve complex business problems. Our Asset and Wealth Management Division is one of the four key revenue-generating divisions of the firm, and we are interested in individuals who have strong coding skills and a continued interest to learn about finance.

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