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- Tasks: Tackle complex research problems and develop predictive models in AI and finance.
- Company: Leading technology firm in the UK with a focus on innovation.
- Benefits: Gain hands-on experience, mentorship from top-tier scientists, and networking opportunities.
- Why this job: Make a real impact in AI and finance while working with cutting-edge technology.
- Qualifications: Current graduate student in quantitative disciplines with a strong background in statistics and machine learning.
- Other info: Ideal for those aiming for a Ph.D. in 2026 or 2027.
The predicted salary is between 500 - 1500 £ per month.
A leading technology firm in the UK is looking for a Research Intern to work with top-tier machine learning scientists. This role involves tackling complex research problems, developing predictive models, and engaging in software implementation.
Candidates should be current graduate students in quantitative disciplines aiming for a Ph.D. in 2026 or 2027, with strong backgrounds in statistical methods and machine learning. This is an excellent opportunity to make an impactful contribution to the field of AI and finance.
ML Research Intern: Quant Finance & AI employer: The Voleon Group
Contact Detail:
The Voleon Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Research Intern: Quant Finance & AI
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the field of AI and finance. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to machine learning and quantitative finance. This will help us see your practical experience and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss statistical methods and predictive models, as well as how you approach complex research problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace ML Research Intern: Quant Finance & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences in quantitative disciplines. We want to see how your background in statistical methods and machine learning aligns with the role, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and finance, and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any projects related to machine learning or predictive modelling, make sure to mention them! We’re keen to see practical examples of your work, so include links or descriptions that demonstrate your skills.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at The Voleon Group
✨Know Your Stuff
Make sure you brush up on your statistical methods and machine learning concepts. Be ready to discuss your previous projects or coursework that relate to these areas, as they’ll likely want to see how you can apply your knowledge to real-world problems.
✨Show Your Passion for AI and Finance
This role is all about the intersection of AI and finance, so demonstrate your enthusiasm for both fields. Share any relevant experiences or insights you've gained, whether through internships, research, or personal projects. It’ll show them you’re genuinely interested in making an impact.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining your thought process when tackling complex problems, and be ready to walk through your approach to developing predictive models. This will help them gauge your problem-solving skills and technical expertise.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects or the challenges they face in their research. This not only shows your interest but also gives you a chance to assess if the role aligns with your career goals.