- Collaborate with traders, portfolio managers, and other stakeholders to identify areas where quantitative analysis can provide insights and support decision-making
- Develop and implement quantitative models and algorithms to support trading and investment strategies
- Communicate results and findings to stakeholders in a clear and concise manner
- Stay current with industry developments and new technologies
- Excellent communication skills and the ability to work well in a team environment
- 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, TypeScript or Java
- Strong problem-solving skills and the ability to think critically
- Strong understanding of mathematical and statistical concepts, especially in finance
- Minimum of 4 years of experience in a quantitative role in a financial services company
- Experience with financial modelling, data analysis or in the financial industry is a must
- Background in equity or credit is preferred
- Full stack development or Secdb/Slang experience is preferred
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Quantitative Engineering - London, United Kingdom - Goldman Sachs
Description
Job Overview: A unique opportunity to be part of a small, business-facing team contributing across all stages of the investment management flow, from launch and operational life cycle to reporting and forecasting. 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 portfolio managers, and other stakeholders to identify areas where quantitative analysis can provide insights and support decision-making.Key Responsibilities:
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