At a Glance
- Tasks: Develop backend applications and data processing logic for trading and risk management.
- Company: VBeyond Europe, a leader in investment banking technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborate with quants and traders in an innovative environment.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of finance.
- Qualifications: 6-10 years of Python experience and strong SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
VBeyond Europe is seeking a Python Developer with strong experience in trading and risk management systems within investment banking. The ideal candidate will develop backend applications and data processing logic supporting risk calculations, trade workflows, and reporting.
Responsibilities include:
- Building data processing pipelines
- Integrating REST APIs
- Collaborating with quants and traders
Ideal candidates will have 6-10 years of Python experience and strong SQL skills.
Senior Quantitative Python Engineer - Trading & Risk in London employer: VBeyond Europe
VBeyond Europe is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration among talented professionals in the investment banking sector. With a strong emphasis on employee growth, we provide ample opportunities for skill development and career advancement, all while enjoying the vibrant culture of our European location that promotes work-life balance and inclusivity.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Quantitative Python Engineer - Trading & Risk in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the trading and risk management space. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to trading and risk systems. We want to see your coding prowess in action, so don’t hold back!
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and data processing knowledge. We recommend practicing common interview questions and coding challenges to ensure you’re ready to impress.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for talented individuals like you, so don’t hesitate to hit that apply button!
We think you need these skills to ace Senior Quantitative Python Engineer - Trading & Risk in London
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python experience in your application. We want to see how you've used Python in trading and risk management systems, so share specific projects or challenges you've tackled.
SQL is Key:Since strong SQL skills are a must, don’t forget to mention any relevant experience you have with databases. We love seeing how you've integrated data processing pipelines in your past roles.
Collaborate Like a Pro:Collaboration is crucial in our team, so if you've worked closely with quants or traders, let us know! Share examples of how you’ve successfully collaborated on projects to enhance trading workflows.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at VBeyond Europe
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of trading and risk management. Be prepared to discuss specific projects where you've developed backend applications or data processing logic, as this will show your practical experience.
✨Understand Trading and Risk Concepts
Familiarise yourself with key concepts in trading and risk management systems. Being able to speak knowledgeably about risk calculations and trade workflows will impress the interviewers and demonstrate that you understand the domain.
✨Showcase Your SQL Skills
Since strong SQL skills are a must, be ready to discuss how you've used SQL in past roles. Prepare to answer questions about data manipulation, querying techniques, and how you've integrated databases into your applications.
✨Collaborate Like a Pro
Highlight your experience working with quants and traders. Share examples of how you've collaborated with cross-functional teams to deliver successful projects, as this will show that you're not just a tech whiz but also a team player.
