Asset & Wealth Management | Quantitative Engineering | Associate | Dallas & New York at Goldman Sachs

Job Overview:

The Quantitative Engineer will be responsible for the design, development, and implementation of quantitative models and algorithms for a financial services company. This individual will work closely with traders, portfolio managers, and other stakeholders to streamline reporting identify areas where quantitative analysis can provide insights and support decision-making.

Key Responsibilities:

• Coverage all aspects of private business, with focus on validation, streamlining and reporting for illiquid and semi-liquid funds
• Develop and implement quantitative models and algorithms to support trading and investment strategies
• 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
• 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, Kotlin 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
• Experience and interest in financial markets, risk management and portfolio management

Experience:

• Minimum of 2 plus years of experience in a quantitative role in a financial services company
• Background in credit or real estate preferred
• Full stack development or Secdb/Slang experience preferred

ABOUT GOLDMAN SACHS

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