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- Tasks: Lead AI/ML projects, applying advanced techniques to solve complex financial problems.
- Company: Major global financial institution with a fast-paced, delivery-focused culture.
- Benefits: Competitive salary, dynamic work environment, and opportunities for rapid impact.
- Other info: Fast-paced environment with significant career growth potential.
- Why this job: Join a cutting-edge AI Lab and make a real difference in finance.
- Qualifications: Experience in ML model deployment, strong Python skills, and a hands-on leadership approach.
The predicted salary is between 100000 - 150000 £ per year.
Currently partnering with a major global financial institution hiring a senior VP-level AI / Machine Learning Data Scientist into a highly visible front-office AI Lab environment. The team is focused on applying advanced ML, neural networks, and predictive modelling techniques to highly complex portfolio, equities, and client behaviour problems within a large-scale Prime business generating substantial annual revenues.
The environment is:
- highly technical
- delivery-focused
- commercially driven
- exceptionally fast paced
Strong preference for candidates who have:
- built and deployed ML models in production
- strong Python / PyTorch capability
- neural network experience
- advanced statistical / mathematical foundations
- experience solving complex prediction or optimisation problems
- ability to lead technically while remaining hands-on
The role sits very close to the business and successful candidates will be expected to demonstrate measurable progress and impact quickly. Interesting opportunity for individuals coming from:
- front-office banking
- systematic trading
- quant research
- applied AI/ML
- electronic trading
- hedge funds
- advanced predictive analytics environments
Interview process includes technical deep-dives and presentation of prior projects / implementations. London based. Message me directly for a confidential discussion.
Senior AI / ML Data Scientist – VP in London employer: Morgan McKinley
Contact Detail:
Morgan McKinley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI / ML Data Scientist – VP in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI/ML roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your ML models and projects. When you get the chance, present these during interviews to demonstrate your hands-on experience and technical prowess.
✨Tip Number 3
Stay updated with the latest trends in AI and ML. Follow relevant blogs, attend webinars, or join online communities. This knowledge will not only help you in interviews but also show your passion for the field.
✨Tip Number 4
Apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior AI / ML Data Scientist – VP in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience with ML models, Python, and neural networks. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML and how your background in front-office banking or systematic trading makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Projects: When applying, include examples of your previous work, especially any ML models you've built and deployed. We love seeing real-world applications of your skills, so don’t hold back on the details!
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 role. Plus, it’s super easy!
How to prepare for a job interview at Morgan McKinley
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and PyTorch, as these are crucial for the role. Brush up on your knowledge of neural networks and be ready to discuss how you've built and deployed ML models in production.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex prediction or optimisation problems. Use metrics to demonstrate the impact of your work, as this will resonate well with the delivery-focused environment.
✨Be Ready for Technical Deep-Dives
Expect technical questions that dive deep into your past projects. Have a couple of key projects ready to present, highlighting your hands-on experience and the measurable outcomes of your contributions.
✨Understand the Business Context
Since the role is close to the business, show that you understand how AI/ML can drive value in a financial context. Familiarise yourself with the challenges faced in equities and prime services to demonstrate your commercial awareness.