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- Tasks: Drive market-making strategies and build models for systematic trading decisions.
- Company: Leading global investment bank in London with a focus on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a team committed to transforming the finance sector through cutting-edge quantitative research.
- Qualifications: Strong background in quantitative analysis and programming skills in C++, Java, or Python.
- Other info: Collaborate with developers to enhance trading tools in a fast-paced environment.
The predicted salary is between 72000 - 108000 £ per year.
A leading global investment bank in London is seeking a FICC Quantitative Researcher to drive market-making strategies. The ideal candidate will possess a strong background in quantitative analysis and programming skills in languages such as C++, Java, or Python. This role involves building models for systematic trading decisions and collaborating with developers to enhance trading tools. Join a dynamic team committed to innovation in the finance sector.
VP, FICC Quant Research & Market Making — London in City of 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 VP, FICC Quant Research & Market Making — London in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and quant research space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve built any models or tools, make sure to have them ready to discuss. Real-world examples of your work can really impress during interviews.
✨Tip Number 3
Stay updated with market trends and innovations in quantitative finance. Being able to discuss recent developments shows you're passionate and knowledgeable about the field.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who are eager to innovate in the finance sector. Your next big opportunity could be just a click away!
We think you need these skills to ace VP, FICC Quant Research & Market Making — London in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative analysis and programming skills in your application. We want to see how your expertise in languages like C++, Java, or Python can contribute to our market-making strategies.
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates tailor their applications to reflect the specific requirements of the VP, FICC Quant Research & Market Making role. Show us why you’re the perfect fit!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and experience without wading through unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our dynamic team.
How to prepare for a job interview at Goldman Sachs Bank AG
✨Know Your Quant Skills
Brush up on your quantitative analysis skills and be ready to discuss specific models you've built. Make sure you can explain your thought process and the impact of your work on trading strategies.
✨Programming Proficiency is Key
Since programming is crucial for this role, be prepared to showcase your coding skills in C++, Java, or Python. You might even face a technical challenge during the interview, so practice coding problems relevant to finance.
✨Understand Market-Making Strategies
Familiarise yourself with current market-making strategies and trends in the FICC space. Being able to discuss how your research can drive these strategies will show your potential employer that you're not just knowledgeable but also forward-thinking.
✨Collaboration is Essential
This role involves working closely with developers, so highlight any past experiences where you've successfully collaborated with technical teams. Share examples of how your teamwork led to improved trading tools or strategies.
