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- Tasks: Lead the Quantitative Trading desk and develop innovative trading strategies using AI.
- Company: A leading global bank with a diverse and inclusive culture.
- Benefits: Excellent growth opportunities and a dynamic work environment.
- Why this job: Join a cutting-edge team and shape the future of market making.
- Qualifications: Strong academic background in quantitative fields and programming skills in C++, Java, or Python.
- Other info: Be part of a collaborative team driving innovation in finance.
The predicted salary is between 43200 - 72000 £ per year.
A leading global bank is seeking a Quantitative Researcher for their London office. The successful candidate will lead the Quantitative Trading & Market Making desk, developing trading strategies and employing advanced statistical and AI techniques.
Candidates should have a strong academic background in a quantitative field and proficiency in programming languages such as C++, Java, or Python. The role offers growth opportunities and is part of a diverse, inclusive culture.
AI-Driven Quant Trading Lead (Assoc/VP) - Market Making in 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 AI-Driven Quant Trading Lead (Assoc/VP) - Market Making in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or a GitHub with your coding prowess, make sure to highlight it. It’s a great way to demonstrate your expertise in C++, Java, or Python.
✨Tip Number 3
Prepare for those interviews! Brush up on your quantitative skills and be ready to discuss your approach to developing trading strategies. Practice common interview questions and think about how you can showcase your AI techniques.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI-Driven Quant Trading Lead (Assoc/VP) - Market Making in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your academic background and any relevant experience in quantitative fields. We want to see how your skills in programming languages like C++, Java, or Python can contribute to our team!
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates customise their applications to reflect the specific requirements of the AI-Driven Quant Trading Lead 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 experiences 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 diverse and inclusive culture!
How to prepare for a job interview at Goldman Sachs Bank AG
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss specific models or strategies you've developed. Make sure you can explain the statistical techniques and AI methods you've used in your previous work.
✨Programming Proficiency
Since programming is key for this role, be prepared to showcase your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges in C++, Java, or Python beforehand.
✨Understand Market Dynamics
Familiarise yourself with current market trends and how they impact trading strategies. Being able to discuss recent developments in market making will show your passion and knowledge in the field.
✨Cultural Fit Matters
This bank values diversity and inclusion, so be ready to share how your experiences align with their culture. Think about examples that demonstrate your ability to work in diverse teams and contribute positively to an inclusive environment.
