At a Glance
- Tasks: Lead AI/ML projects, applying advanced techniques to solve complex financial problems.
- Company: Join a major global financial institution in a fast-paced AI Lab environment.
- Benefits: Competitive salary, dynamic work culture, and opportunities for rapid career advancement.
- Other info: Ideal for those with backgrounds in banking, trading, or advanced analytics.
- Why this job: Make a real impact in finance using cutting-edge AI and ML technologies.
- Qualifications: Strong Python/PyTorch skills and experience in building production ML models.
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.
Environment:
- Highly technical
- Delivery-focused
- Commercially driven
- Exceptionally fast paced
Preferred Qualifications:
- Built and deployed ML models in production
- Strong Python / PyTorch capability
- 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.
Backgrounds We Seek:
- Front-office banking
- Systematic trading
- Applied AI/ML
- Electronic trading
- Hedge funds
- Advanced predictive analytics environments
Senior AI / ML Data Scientist – VP employer: Morgan McKinley
As a leading global financial institution, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. Our Senior AI / ML Data Scientists enjoy unparalleled opportunities for professional growth within a fast-paced environment, where cutting-edge technology meets real-world impact. With a focus on collaboration and excellence, we offer competitive benefits and the chance to work on high-stakes projects that shape the future of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI / ML Data Scientist – VP
✨Tip Number 1
Network like a pro! Reach out to connections in the finance and AI/ML space. Attend industry events or webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills! Create a portfolio of your best ML projects, especially those that demonstrate your ability to solve complex prediction problems. We recommend using platforms like GitHub to share your code and results. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch skills. Practice coding challenges and be ready to discuss your past projects in detail. We suggest simulating interview scenarios with friends or mentors to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s a great way to get noticed. Tailor your application to highlight your experience in front-office banking and advanced predictive analytics. We’re here to help you land that dream job, so make sure you put your best foot forward!
We think you need these skills to ace Senior AI / ML Data Scientist – VP
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience with ML models and Python/PyTorch. We want to see how your skills align with the role, so don’t be shy about showcasing your technical prowess!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background in front-office banking or systematic trading makes you a perfect fit for our team.
Showcase Your Impact:When detailing your past experiences, focus on measurable outcomes. We love to see how your work has led to tangible results, especially in complex prediction or optimisation problems.
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 opportunity in our AI Lab!
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 advanced statistical methods and be ready to discuss how you've applied them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific complex prediction or optimisation problems you've tackled. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight the measurable impact of your solutions.
✨Understand the Business Context
Since this role is close to the business, demonstrate your understanding of how AI/ML can drive value in a financial context. Be ready to discuss how your work can influence portfolio management, client behaviour, and revenue generation.
✨Be Ready to Lead and Collaborate
This position requires a balance of technical leadership and hands-on work. Prepare examples of how you've led teams or projects while remaining actively involved in the technical details. Show that you can inspire others while delivering results.
