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- Tasks: Design and implement quantitative models for trading strategies.
- Company: Join a leading financial services firm in London.
- Benefits: Enjoy competitive pay, collaborative culture, and opportunities for growth.
- Why this job: Make an impact with cutting-edge technology and innovative financial solutions.
- Qualifications: Advanced degree in Math, Physics, or related field; strong programming skills required.
- Other info: Ideal for those with 4+ years in quantitative finance and a passion for problem-solving.
The predicted salary is between 72000 - 108000 £ per year.
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 portfolio managers and other stakeholders to identify areas where quantitative analysis can provide insights and support decision-making.
Key Responsibilities:
- Develop and implement quantitative models and algorithms to support trading and investment strategies.
- Collaborate with traders, portfolio managers, and other stakeholders 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 trading 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.
Experience:
- Minimum of 4+ years of experience in a quantitative role in a financial services company.
- Experience with financial modeling or in the financial industry is a must.
- Background in equity or credit preferred.
- Full stack development or Secdb/Slang experience preferred.
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Quantitative Engineer - Vice President - AMD Private - London employer: Goldman Sachs
Contact Detail:
Goldman Sachs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Engineer - Vice President - AMD Private - London
✨Tip Number 1
Make sure to showcase your programming skills prominently. Since strong programming skills in languages like Python, R, C++, or Java are crucial for this role, consider discussing specific projects where you've applied these skills in a quantitative context.
✨Tip Number 2
Highlight your experience with financial modeling and risk management. Given the emphasis on these areas in the job description, be prepared to discuss how you've used quantitative analysis to support trading strategies in your previous roles.
✨Tip Number 3
Stay updated on industry trends and technologies. Being knowledgeable about the latest developments in quantitative finance can set you apart, so consider mentioning any recent advancements or tools you've explored that could benefit the company.
✨Tip Number 4
Prepare to demonstrate your communication skills. Since you'll need to convey complex quantitative findings to stakeholders, think of examples where you've successfully communicated technical information to non-technical audiences.
We think you need these skills to ace Quantitative Engineer - Vice President - AMD Private - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced degree and relevant experience in quantitative roles. Emphasize your programming skills in languages like Python, R, C++, or Java, and showcase any experience with financial modeling.
Craft a Strong Cover Letter: In your cover letter, clearly articulate your understanding of mathematical and statistical concepts in finance. Mention specific projects where you developed quantitative models and how they supported trading strategies.
Showcase Communication Skills: Since excellent communication is key for this role, provide examples in your application that demonstrate your ability to convey complex quantitative findings to non-technical stakeholders.
Highlight Relevant Experience: Detail your experience in financial markets, risk management, and time series analysis. If you have experience with full stack development or Secdb/Slang, make sure to include that as well.
How to prepare for a job interview at Goldman Sachs
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in languages like Python, R, C++, or Java. Bring examples of quantitative models or algorithms you've developed, and be ready to explain the thought process behind them.
✨Demonstrate Your Financial Knowledge
Make sure you can articulate your understanding of financial markets, risk management, and time series analysis. Prepare to discuss how these concepts apply to the role and how you've used them in past experiences.
✨Communicate Clearly
Since communication is key in this role, practice explaining complex quantitative concepts in a simple and concise manner. Think about how you would present your findings to stakeholders who may not have a technical background.
✨Stay Updated on Industry Trends
Research recent developments in quantitative finance and technology. Be ready to discuss how these trends could impact the company's strategies and how you can contribute to staying ahead of the curve.
