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- Tasks: Maintain and develop investment management systems while optimising risk metrics for trading.
- Company: Leading asset management firm in London with a focus on innovation.
- Benefits: Gain hands-on experience, mentorship, and networking opportunities in the finance sector.
- Other info: Perfect opportunity for professional placement year students looking to kickstart their careers.
- Why this job: Join a dynamic team and enhance your skills in data science and asset management.
- Qualifications: Undergraduate student with strong Python, SQL, and analytics skills.
The predicted salary is between 500 - 1500 £ per month.
A leading asset management firm is seeking a Front Office Data Scientist for a Professional Placement Year Internship in London. The ideal candidate is an undergraduate student pursuing a degree with a professional placement and must possess strong skills in Python, SQL, and analytics tools.
This internship involves maintaining and developing investment management systems and optimizing risk metrics for trading activities in a dynamic work environment. Join us to develop your expertise in asset management and contribute to innovative projects.
Front Office Data Scientist Internship employer: AXA Investment Managers
Contact Detail:
AXA Investment Managers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Front Office Data Scientist Internship
✨Tip Number 1
Network like a pro! Reach out to professionals in the asset management field on LinkedIn. A friendly message can go a long way, and you never know who might help you land that internship.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This will not only demonstrate your technical abilities but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research common data science interview questions and practice your answers. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Front Office Data Scientist Internship
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in Python, SQL, and analytics tools. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about asset management and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: Since this role involves optimising risk metrics, make sure to include examples of how you've used your analytical skills in past experiences. We’re looking for problem solvers who can think critically!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at AXA Investment Managers
✨Know Your Tech
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any analytics software you're familiar with. This will show that you’re not just a student but someone who can contribute right away.
✨Understand the Industry
Familiarise yourself with the asset management sector and current trends. Knowing how investment management systems work and the importance of risk metrics in trading will impress your interviewers. It shows that you’re genuinely interested in the field and ready to dive into the role.
✨Prepare for Problem-Solving Questions
Expect to face some technical questions or case studies during the interview. Practice explaining your thought process clearly and logically. This is your chance to demonstrate your analytical skills and how you approach problem-solving in a dynamic environment.
✨Show Enthusiasm and Curiosity
During the interview, express your eagerness to learn and grow within the company. Ask insightful questions about the team, projects, and the company culture. This not only shows your interest but also helps you determine if it’s the right fit for you.