At a Glance
- Tasks: Maintain Python libraries and perform financial modelling in a dynamic team.
- Company: Internwise, a leading firm in investment and data science.
- Benefits: Gain hands-on experience and learn from industry experts.
- Other info: Collaborative environment with excellent growth opportunities.
- Why this job: Kickstart your career in finance and data science with real-world projects.
- Qualifications: Strong quantitative skills and programming expertise in Python.
The predicted salary is between 25000 - 32000 £ per year.
Internwise seeks a Junior Data Scientist/Quant Analyst for its London office. The role involves maintaining Python libraries and performing financial modeling, offering a unique opportunity to learn from experienced investment professionals.
Ideal candidates have strong quantitative skills, programming expertise in Python, and a record of academic excellence in fields like Mathematics or Statistics. This position promises a collaborative environment with opportunities for growth.
Junior Quant Analyst & Data Scientist (Python, SQL) employer: Internwise
Internwise is an exceptional employer, offering a dynamic and collaborative work culture in the heart of London. As a Junior Quant Analyst & Data Scientist, you will benefit from hands-on experience with financial modelling while being mentored by seasoned investment professionals, ensuring ample opportunities for personal and professional growth. The company values innovation and excellence, making it an ideal place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Quant Analyst & Data Scientist (Python, SQL)
✨Tip Number 1
Network like a pro! Reach out to professionals in the finance and data science fields on LinkedIn. A friendly message can go a long way, and you never know who might help you land that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any financial models you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your quantitative skills and be ready to discuss your programming experience in Python and SQL. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Junior Quant Analyst & Data Scientist (Python, SQL)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming expertise in Python and any experience you have with SQL. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention your academic achievements in Mathematics or Statistics, as we love to see that strong foundation.
Be Yourself:Let your personality shine through in your application. We’re looking for candidates who fit into our collaborative environment, so don’t be afraid to show us who you are!
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!
How to prepare for a job interview at Internwise
✨Brush Up on Your Python Skills
Make sure you're comfortable with Python libraries relevant to data science. Review key concepts and be ready to discuss how you've used them in past projects or coursework. Practising coding challenges can also help you demonstrate your programming expertise.
✨Know Your Financial Modelling Basics
Since the role involves financial modelling, it’s crucial to understand the fundamentals. Familiarise yourself with common financial models and be prepared to explain how you would approach a modelling task. This shows your readiness to tackle real-world problems.
✨Showcase Your Quantitative Skills
Be ready to discuss your academic background in Mathematics or Statistics. Prepare examples of how you've applied these skills in practical scenarios, whether in projects or internships. This will highlight your analytical thinking and problem-solving abilities.
✨Emphasise Collaboration and Growth Mindset
This position promises a collaborative environment, so be prepared to talk about your experiences working in teams. Share examples of how you’ve contributed to group projects and express your eagerness to learn from experienced professionals in the field.
