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- Tasks: Design and implement quantitative models for trading strategies in finance.
- Company: Join a leading financial services company at the forefront of innovation.
- Benefits: Enjoy competitive pay, flexible working options, and a dynamic work environment.
- Why this job: Make an impact by using data to drive investment decisions and collaborate with top professionals.
- Qualifications: Advanced degree in Maths, Physics, or related field; strong programming skills required.
- Other info: Ideal for those with 4+ years in quantitative roles and a passion for finance.
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 modelling 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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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
Network with professionals in the financial services industry, especially those working in quantitative roles. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends and technologies.
✨Tip Number 2
Showcase your programming skills by contributing to open-source projects or creating your own quantitative models. This not only demonstrates your technical abilities but also your passion for the field, making you a more attractive candidate.
✨Tip Number 3
Stay updated on the latest developments in quantitative finance and related technologies. Follow relevant blogs, podcasts, and research papers to ensure you can discuss current trends and innovations during interviews.
✨Tip Number 4
Prepare to discuss your previous experiences in quantitative roles, focusing on specific projects where you developed models or algorithms. Be ready to explain your thought process and the impact of your work on decision-making and trading strategies.
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 relevant experience in quantitative roles, particularly in financial services. Emphasise your programming skills and any specific projects that demonstrate your ability to develop models and algorithms.
Craft a Strong Cover Letter: In your cover letter, explain why you are interested in the Quantitative Engineer position and how your background aligns with the key responsibilities outlined in the job description. Mention your experience with financial modelling and any relevant technologies.
Showcase Your Technical Skills: Be specific about your programming skills in languages like Python, R, C++, or Java. Include examples of how you've used these skills in previous roles to solve problems or improve processes.
Prepare for Technical Questions: Anticipate technical questions related to quantitative analysis, financial modelling, and statistical concepts. Brush up on your knowledge of financial markets and be ready to discuss your problem-solving approach in detail.
How to prepare for a job interview at Goldman Sachs
✨Showcase Your Technical Skills
Make sure to highlight your programming skills, especially in languages like Python, R, C++, or Java. Be prepared to discuss specific projects where you've applied these skills, as well as any quantitative models or algorithms you've developed.
✨Demonstrate Your Financial Knowledge
Since the role requires a strong understanding of financial markets and risk management, brush up on key concepts and be ready to discuss how you've applied quantitative analysis in real-world scenarios. This will show your potential employer that you can contribute effectively from day one.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, as this is crucial for communicating complex ideas to stakeholders. Use examples from your past experience to illustrate your approach.
✨Emphasise Collaboration and Communication
This role involves working closely with portfolio managers and traders, so it's important to demonstrate your teamwork and communication skills. Share examples of how you've successfully collaborated with others in previous roles and how you communicated complex findings to non-technical stakeholders.
