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- Tasks: Conduct quantitative research and present findings at a global conference.
- Company: Leading quantitative research firm with a focus on innovation.
- Benefits: Gain hands-on experience, mentorship, and networking opportunities.
- Why this job: Kickstart your career in finance and make an impact in the industry.
- Qualifications: Strong analytical skills and programming knowledge in Python or Java.
- Other info: 10-12 week summer internship in London, Munich, or Yerevan.
The predicted salary is between 500 - 1500 £ per month.
A leading quantitative research firm is offering a 10-12 week summer internship for aspiring quantitative researchers in London, Munich, and Yerevan. Interns will conduct quantitative research, work within investment groups, and present at a global conference.
Candidates should have strong analytical skills, programming capability in languages such as Python or Java, and demonstrate market intuition. This internship is ideal for individuals or small teams that can formulate trading hypotheses.
Apply by April 15, 2026.
Quant Research Internship: Global Conference & Mentorship employer: Teza Technologies
Contact Detail:
Teza Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Research Internship: Global Conference & Mentorship
✨Tip Number 1
Network like a pro! Reach out to current or former interns and employees on LinkedIn. Ask them about their experiences and any tips they might have for landing the internship.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your analytical skills and programming prowess. This can be a great conversation starter during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to quantitative research and programming. Mock interviews with friends can help you nail your responses.
✨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 the initiative to engage with us directly.
We think you need these skills to ace Quant Research Internship: Global Conference & Mentorship
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your analytical skills and programming experience in Python or Java. We want to see how you can apply these skills to real-world problems, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about quantitative research and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Tailor Your CV: Don’t just send the same CV to everyone. Tailor it to fit the internship by emphasising relevant experiences and projects that showcase your market intuition and ability to formulate trading hypotheses.
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. Don’t miss out!
How to prepare for a job interview at Teza Technologies
✨Know Your Numbers
Brush up on your quantitative skills and be ready to discuss your analytical approach. Make sure you can explain how you would formulate trading hypotheses based on data, as this will show your understanding of the role.
✨Show Off Your Coding Skills
Since programming in Python or Java is key for this internship, prepare to talk about your experience with these languages. Bring examples of projects you've worked on or problems you've solved using code to demonstrate your capability.
✨Market Intuition Matters
Be prepared to discuss current market trends and how they might influence trading strategies. This shows that you not only have the technical skills but also the intuition needed to succeed in a fast-paced environment.
✨Practice Your Presentation Skills
As you'll be presenting at a global conference, practice explaining complex concepts clearly and concisely. Consider doing mock presentations to friends or family to build confidence and receive feedback.