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- Tasks: Build trading apps that provide market data and insights for impactful trading decisions.
- Company: Join a dynamic trading desk in Greater London with a collaborative culture.
- Benefits: Enjoy a competitive salary, professional development, and a healthy work-life balance.
- Other info: Great opportunities for career growth in a fast-paced environment.
- Why this job: Make a real impact in trading while working with cutting-edge technology.
- Qualifications: 1-3 years of experience in Python, AWS, and SQL required.
The predicted salary is between 60000 - 80000 £ per year.
Jobs via eFinancialCareers seeks a motivated Python Quant Developer to join a trading desk in Greater London. You'll build applications providing market data and insights that directly impact trading decisions.
Ideal candidates have:
- 1-3 years of experience
- Proficiency in Python (including libraries like numpy and pandas)
- AWS
- SQL
This role offers a collaborative environment, competitive salary, and opportunities for professional development while ensuring a healthy work-life balance.
Python Quant Developer: Build Trading Apps & Growth in London employer: Jobs via eFinancialCareers
Contact Detail:
Jobs via eFinancialCareers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Quant Developer: Build Trading Apps & Growth in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those using libraries like numpy and pandas. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and market knowledge. Practice coding challenges and be ready to discuss how your work impacts trading decisions.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it and get your application in!
We think you need these skills to ace Python Quant Developer: Build Trading Apps & Growth in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python, especially any projects where you've used libraries like numpy and pandas. We want to see how you've applied your skills in real-world scenarios!
Talk About Your Trading Knowledge: If you have any experience or knowledge about trading apps or market data, don’t hold back! Share examples of how you've contributed to similar projects or how your insights have influenced trading decisions.
Keep It Professional Yet Personal: While we love a professional tone, don’t be afraid to let your personality shine through. A bit of authenticity can go a long way in making your application stand out from the crowd!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our collaborative team!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially with libraries like numpy and pandas. Be prepared to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Trading Knowledge
Familiarise yourself with trading concepts and market data applications. Being able to discuss how your work can impact trading decisions will show that you understand the role's significance and are genuinely interested in the field.
✨Prepare for Technical Questions
Expect technical questions related to AWS and SQL. Practice coding problems and be ready to explain your thought process. This will demonstrate your problem-solving skills and ability to think on your feet.
✨Emphasise Collaboration and Growth
Since the role offers a collaborative environment, be ready to share examples of how you've worked effectively in teams. Also, express your eagerness for professional development and how you plan to grow within the company.