Goldman Sachs Sr Quantitative Engineer- Asset & Wealth Management- 

United States, New York, New York 

563655120

Key Responsibilities:

• Develop and implement quantitative models and algorithms to support risk management and investment strategies
• Conduct statistical and mathematical analysis of financial data to identify patterns and trends
• Collaborate with portfolio & fund managers to identify areas where quantitative analysis can provide insights and support decision-making
• Lead the development of proprietary models and algorithms to support the company's risk management and investment strategies
• Communicate results and findings to stakeholders in a clear and concise manner
• Stay current with industry developments and new technologies

Qualifications:

• 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
• Strong understanding of mathematical and statistical concepts, especially in finance
• Strong problem-solving skills and the ability to think critically
• Excellent communication skills and the ability to work well in a team environment
• Strong experience in financial markets, risk management and time series analysis.
• Working knowledge of Corporate Finance and Financing Mathematics

Experience:

• Minimum of 5+ years of experience in a quantitative role in a financial services company
• Experience with financial modeling or in the financial industry is a must