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- Tasks: Lead the Quant Trading & Market Making desk, developing innovative trading strategies.
- Company: A leading global bank with a diverse and inclusive culture.
- Benefits: Growth opportunities and a dynamic work environment.
- Why this job: Join a cutting-edge team using AI to shape the future of trading.
- 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨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 during interviews. It’s a great way to demonstrate your expertise in C++, Java, or Python.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your quantitative methods and AI techniques. We want to see how you think, so be ready to tackle some real-world problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI-Driven Quant Trading Lead (Assoc/VP) - Market Making
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 at a glance.
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 don’t miss out on any important updates from our team!
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 statistical methods or models you've used in the past. The bank will want to see how you apply these techniques in real-world scenarios, so prepare examples that showcase your analytical prowess.
✨Programming Proficiency is Key
Make sure you're comfortable discussing your experience with programming languages like C++, Java, or Python. Be prepared to explain how you've used these languages in developing trading strategies or algorithms, as this will be crucial for the role.
✨Stay Current with Market Trends
Familiarise yourself with the latest trends in quantitative trading and market making. Being able to discuss recent developments or innovations in AI-driven trading will demonstrate your passion for the field and your commitment to staying ahead of the curve.
✨Cultural Fit Matters
Since the bank values diversity and inclusion, think about how your personal experiences align with their culture. Be ready to share how you can contribute to a collaborative environment and support diverse perspectives within the team.
