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- Tasks: Design and implement quantitative models for financial services, collaborating with traders and portfolio managers.
- Company: Join a leading financial services company focused on innovative quantitative analysis.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Make an impact in finance by using your analytical skills to drive decision-making.
- Qualifications: Advanced degree in Math, Physics, or related field; strong programming skills required.
- Other info: Minimum 2+ years of experience in a quantitative role preferred.
The predicted salary is between 43200 - 72000 £ 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 traders, portfolio managers, and other stakeholders to streamline reporting and identify areas where quantitative analysis can provide insights and support decision-making.
Key Responsibilities:
- Cover all aspects of private business, with a 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.
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Asset & Wealth Management - Quantitative Engineering - Associate - London employer: Goldman Sachs Bank AG
Contact Detail:
Goldman Sachs Bank AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Asset & Wealth Management - Quantitative Engineering - Associate - London
✨Tip Number 1
Make sure to showcase your programming skills in Python, C++, or Java during the interview. Be prepared to discuss specific projects where you've applied these languages to solve quantitative problems.
✨Tip Number 2
Familiarize yourself with the latest trends in financial markets and quantitative analysis. Being able to discuss recent developments will demonstrate your passion and commitment to the field.
✨Tip Number 3
Prepare examples of how you've collaborated with traders or portfolio managers in the past. Highlighting your teamwork skills will show that you can effectively communicate and work with stakeholders.
✨Tip Number 4
Brush up on your statistical and mathematical analysis skills. Be ready to explain how you've used these concepts to identify patterns in financial data, as this is a key responsibility of the role.
We think you need these skills to ace Asset & Wealth Management - Quantitative Engineering - Associate - London
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities of a Quantitative Engineer in Asset & Wealth Management. Familiarize yourself with the key tasks such as developing quantitative models and collaborating with traders.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in quantitative roles, especially in financial services. Mention specific projects or models you've worked on that relate to trading or investment strategies.
Showcase Technical Skills: Clearly outline your programming skills in languages like Python, C++, or Java. Provide examples of how you've applied these skills in real-world scenarios, particularly in statistical analysis or model development.
Communicate Effectively: Since excellent communication skills are crucial for this role, ensure your application materials are clear and concise. Practice articulating complex quantitative concepts in simple terms, as you may need to explain your findings to non-technical stakeholders.
How to prepare for a job interview at Goldman Sachs Bank AG
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in languages like Python, 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 Analytical Thinking
Expect questions that assess your understanding of mathematical and statistical concepts. Prepare to solve problems on the spot, showcasing your critical thinking and problem-solving abilities.
✨Communicate Clearly
Since you'll need to communicate complex findings to stakeholders, practice explaining your past projects in a clear and concise manner. Use simple language to describe technical concepts, ensuring everyone can follow along.
✨Stay Updated on Industry Trends
Research recent developments in financial markets and quantitative analysis. Being knowledgeable about current trends will demonstrate your passion for the field and your commitment to staying informed.
