Job DescriptionJob 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, 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
- Experience and interest in financial markets, risk management and portfolio management
Experience: - Minimum of 2+ years of experience in a quantitative role in a financial services company
- Background in equity or credit preferred
- Full stack development or Secdb/Slang experience preferred
ABOUT GOLDMAN SACHS
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