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- Tasks: Lead AI research and develop innovative deep learning strategies for financial modelling.
- Company: Shape Market Alpha, a cutting-edge hedge fund in Greater London.
- Benefits: Competitive salary, hybrid work model, and opportunities to collaborate with top quants.
- Other info: Join a dynamic team with excellent career growth potential.
- Why this job: Make a real impact in finance using your AI expertise and creativity.
- Qualifications: PhD in AI or related field, strong publication record, and deep learning experience.
The predicted salary is between 80000 - 100000 £ per year.
Block MB in Greater London is seeking a Lead Deep Learning Researcher to innovate deep learning strategies for their hedge fund. You will take ownership of AI research, leading the development of frameworks for financial modeling while collaborating with top quants.
Ideal candidates hold a PhD in AI or similar, with a strong publication history and hands-on experience in deep learning. The position offers a compensation package comparable to leading tech firms and a hybrid work model.
Lead AI Researcher — Hybrid London, Shape Market Alpha employer: Block MB
Contact Detail:
Block MB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Researcher — Hybrid London, Shape Market Alpha
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and finance sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your expertise! Create a portfolio of your research and projects. This can be a great conversation starter during interviews and helps us see your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on deep learning concepts and financial modelling. Practice explaining your past work clearly and confidently, as this will impress potential employers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead AI Researcher — Hybrid London, Shape Market Alpha
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in deep learning and AI research. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD and any relevant publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in finance and how your previous work can contribute to our innovative strategies. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any interesting projects or research, make sure to include them in your application. We love seeing hands-on experience, especially if it relates to financial modelling or deep learning frameworks.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Block MB
✨Know Your Deep Learning Stuff
Make sure you brush up on the latest deep learning techniques and frameworks. Be ready to discuss your past research and how it can apply to financial modelling. They’ll want to see that you’re not just knowledgeable but also passionate about AI.
✨Showcase Your Collaboration Skills
Since this role involves working with top quants, be prepared to talk about your experience in collaborative projects. Highlight specific examples where you’ve successfully worked in a team to solve complex problems, especially in a research setting.
✨Prepare for Technical Questions
Expect some tough technical questions during the interview. Brush up on your coding skills and be ready to solve problems on the spot. Practising common deep learning algorithms and their applications in finance will give you an edge.
✨Demonstrate Your Publication History
Your publication history is crucial for this role. Be ready to discuss your papers in detail, including the challenges you faced and the impact of your work. This shows your depth of knowledge and commitment to advancing the field of AI.