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 required.
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) in City of Westminster 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 encourages continuous learning, making it an ideal place for aspiring data scientists to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Quant Analyst & Data Scientist (Python, SQL) in City of Westminster
✨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 have a lead on that perfect Junior Quant Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any financial models you've built. This is your chance to demonstrate your programming expertise and quantitative skills beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data science and quant analysis questions. Practice explaining your thought process clearly, especially when it comes to problem-solving with Python and SQL.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way!
We think you need these skills to ace Junior Quant Analyst & Data Scientist (Python, SQL) in City of Westminster
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!
Quantitative Excellence is Key:Since we’re looking for strong quantitative skills, include any relevant coursework or projects that showcase your abilities in Mathematics or Statistics. This will help us see your academic excellence in action.
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention why you’re excited about working with us at StudySmarter and how you can contribute to our collaborative environment.
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 don’t miss out on any important updates from our team!
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 Python in past projects or coursework. Practising coding challenges can also help you demonstrate your programming expertise.
✨Know Your Financial Modelling
Since the role involves financial modelling, it’s crucial to understand the basics of finance and how to apply quantitative methods. Be prepared to explain any relevant experience you have and how you approach building models. This will show your potential employer that you’re ready to contribute from day one.
✨Showcase Your Academic Excellence
Highlight your academic achievements in Mathematics or Statistics during the interview. Be ready to discuss specific projects or coursework that demonstrate your quantitative skills. This will help reinforce your suitability for the role and your ability to learn quickly in a collaborative environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the projects you'll be working on, and the company culture. This not only shows your interest in the position but also helps you gauge if the environment is the right fit for you. Engaging with your interviewers can leave a lasting impression.
