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- Tasks: Lead innovative AI and machine learning projects in a dynamic finance environment.
- Company: Top global investment banking firm with a focus on cutting-edge technology.
- Benefits: Attractive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Shape the future of finance by integrating AI into quantitative research.
- Qualifications: Advanced degree and 5+ years of experience in AI and machine learning.
- Other info: Join a team that values innovation and technical leadership.
The predicted salary is between 43200 - 72000 £ per year.
A leading global investment banking firm is seeking an Applied AI Researcher to drive AI and machine learning adoption. Responsibilities include collaborating on production machine-learning systems, developing scalable software, and demonstrating technical leadership.
The ideal candidate will have strong experience with Python, a relevant advanced degree, and a minimum of 5 years in the industry. This role offers a unique opportunity to redefine the connection between quantitative research and artificial intelligence in finance.
VP, Applied AI Research — Lead Cutting-Edge ML Systems in London employer: Goldman Sachs, Inc.
Contact Detail:
Goldman Sachs, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VP, Applied AI Research — Lead Cutting-Edge ML Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI and machine learning. A friendly chat can open doors you didn’t even know existed.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and machine learning. This is your chance to demonstrate your technical chops and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI applications in finance. Be ready to discuss how you can drive AI adoption in a banking context—this is key for the role!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace VP, Applied AI Research — Lead Cutting-Edge ML Systems in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any relevant projects you've worked on. We want to see how you’ve applied your skills in real-world scenarios, especially in machine learning systems.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. Mention how your background aligns with driving AI and machine learning adoption in finance, as that’s what we’re all about.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit for this role.
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 us!
How to prepare for a job interview at Goldman Sachs, Inc.
✨Know Your Stuff
Make sure you brush up on your Python skills and any relevant machine learning frameworks. Be ready to discuss your past projects in detail, especially those that involved production ML systems. This will show them you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Leadership
Since this role involves technical leadership, prepare examples of how you've led teams or projects in the past. Think about times when you’ve had to make tough decisions or guide others through complex problems. This will demonstrate your capability to lead in a cutting-edge environment.
✨Connect AI to Finance
Understand the unique intersection of AI and finance. Be prepared to discuss how AI can transform quantitative research and what innovative ideas you might bring to the table. Showing that you can think strategically about the application of AI in their specific context will set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your interest in the company and the role. Inquire about their current AI initiatives or challenges they face in adopting machine learning. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
