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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 for professional growth.
- Other info: Dynamic environment with excellent career advancement opportunities.
- Why this job: Join a team of top quants and make a real impact in the finance sector.
- Qualifications: PhD in AI or related field with strong publication history 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 and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Brush up on your deep learning knowledge and be ready to discuss your past research. We recommend practising common interview questions and even doing mock interviews with friends or colleagues.
✨Tip Number 3
Showcase your work! Create a portfolio of your research papers, projects, and any relevant presentations. This will help you stand out and demonstrate your hands-on experience in deep learning.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
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 the Lead AI Researcher role. Highlight your PhD, relevant publications, and any hands-on experience in deep learning. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI research and how you can contribute to our team. Be sure to mention your experience with financial modelling and collaboration with quants.
Showcase Your Projects: If you've worked on any innovative deep learning projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially those that relate to finance or hedge funds.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 closely with quants, be prepared to talk about your experience in collaborative projects. Highlight any instances 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 how you overcame them. This shows your depth of knowledge and commitment to advancing the field of AI.