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- Tasks: Lead AI/ML projects to solve complex financial problems using advanced techniques.
- Company: Major global financial institution with a cutting-edge AI Lab.
- Benefits: Competitive salary, career advancement, and the chance to work on impactful projects.
- Other info: Engaging interview process with opportunities to showcase your innovative projects.
- Why this job: Join a dynamic team and shape the future of finance with AI technology.
- Qualifications: Expertise in Python, PyTorch, and neural networks; strong statistical background required.
The predicted salary is between 90000 - 120000 £ 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.
- Built and deployed ML models in production
- Strong Python / PyTorch capability
- Neural network experience
- Advanced statistical / mathematical foundations
- Front-office banking
- Applied AI/ML
Interview process includes technical deep-dives and presentation of prior projects / implementations.
Senior AI / ML Data Scientist - VP in City of 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 City of London
✨Tip Number 1
Get ready to showcase your skills! When you land that interview, be prepared to dive deep into your past projects. We want to see how you've built and deployed ML models in production, so have those examples at the tip of your tongue.
✨Tip Number 2
Brush up on your Python and PyTorch skills! Since these are crucial for the role, we suggest doing some hands-on practice or even working on a mini-project to demonstrate your capabilities during the interview.
✨Tip Number 3
Don’t underestimate the power of networking! Reach out to professionals in the industry, especially those in front-office banking. We can help you connect with others who might have insights or even leads on job openings.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team and make an impact in the AI Lab environment.
We think you need these skills to ace Senior AI / ML Data Scientist - VP in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and PyTorch in your application. We want to see how you've built and deployed ML models in production, so don’t hold back on the details!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Senior AI/ML Data Scientist role. Mention your experience with neural networks and predictive modelling techniques, as these are key for us.
Be Ready for Technical Deep-Dives: Prepare to discuss your previous projects in detail. We’re keen to understand your thought process and the impact of your work, so be ready to dive deep into your implementations during the interview.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
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 neural network experience and be ready to discuss specific projects where you've built and deployed ML models in production.
✨Showcase Your Problem-Solving Skills
Prepare to dive deep into complex portfolio and client behaviour problems you've tackled before. Use examples that highlight your advanced statistical and mathematical foundations, demonstrating how you applied AI/ML techniques to solve real-world issues.
✨Master the Presentation
Since the interview includes a presentation of your prior projects, practice delivering it clearly and confidently. Focus on the impact of your work, the challenges faced, and how you overcame them, making sure to relate it back to the needs of the front-office environment.
✨Understand the Business Context
Familiarise yourself with the financial institution's Prime Services and Equities sectors. Knowing how your AI/ML expertise can drive substantial revenues will help you connect your technical skills to their business goals during the interview.