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- Tasks: Build and scale live trading systems using Python and data science libraries.
- Company: Leading trading firm in Greater London with a dynamic team.
- Benefits: Competitive salary, growth opportunities, and a collaborative work environment.
- Why this job: Join a cutting-edge team and make an impact in the trading world.
- Qualifications: 2+ years in Python, data science, and a degree in computer science or STEM.
- Other info: Exciting chance to grow within a fast-paced trading environment.
The predicted salary is between 43200 - 72000 £ per year.
A prominent trading firm in Greater London is looking for a developer with 2+ years of experience in Python and data science libraries. The role involves building components for trading systems and driving process automation while contributing to team efficiency.
Ideal candidates will have:
- A Bachelor’s in computer science or a STEM field
- Solid Linux skills
- A strong understanding of data engineering
This may be a pivotal opportunity to grow within a dynamic trading team.
Quant Developer - Build & Scale Live Trading Systems employer: Point72 Careers
Contact Detail:
Point72 Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer - Build & Scale Live Trading Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the trading and tech scene on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo with projects that highlight your Python prowess and data science know-how. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your Linux skills and be ready to discuss how you've tackled challenges in building trading systems. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can give you a better shot at landing that dream role.
We think you need these skills to ace Quant Developer - Build & Scale Live Trading Systems
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python and any relevant data science libraries in your application. We want to see how you've used these skills in real-world projects, so don’t hold back!
Tailor Your CV: Customise your CV to reflect the specific requirements of the Quant Developer role. Mention your experience with trading systems and process automation, as this will show us you’re a great fit for our dynamic team.
Highlight Your Education: Since a Bachelor’s in computer science or a STEM field is ideal, make sure to include your educational background prominently. If you’ve worked on any relevant projects during your studies, let us know!
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 Point72 Careers
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with data science libraries like Pandas and NumPy, and think of specific projects where you've used them. This will show that you’re not just familiar with the tools but can apply them effectively in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, especially related to building trading systems or automating processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to see your thought process and impact.
✨Demonstrate Your Linux Proficiency
Since solid Linux skills are a must, be ready to talk about your experience with the operating system. You might be asked about command-line tools or scripting, so consider running through some common tasks you’ve performed in Linux to illustrate your comfort level.
✨Understand the Trading Environment
Familiarise yourself with the basics of trading systems and the financial markets. Being able to speak knowledgeably about how trading works and the role of technology in it will set you apart. It shows that you’re not just a developer but someone who understands the bigger picture.
