At a Glance
- Tasks: Develop Python applications for trading and risk management in investment banking.
- Company: Join a leading investment bank with a focus on innovation and technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborate with experts in a dynamic environment with excellent career advancement opportunities.
- Why this job: Make an impact in finance by building systems that drive trading and risk decisions.
- Qualifications: 6-10 years of Python development experience and strong SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a Python Developer with strong experience in trading and risk management systems within investment banking. The role involves building backend applications and data processing logic supporting risk calculations, trade workflows and reporting.
Key Responsibilities
- Develop and enhance Python-based applications for trading and risk use cases
- Build data processing pipelines and automation scripts for trade, risk and reconciliation workflows
- Work with large financial datasets to support PnL, risk and reporting requirements
- Contribute to system design, architecture and scalability decisions
- Collaborate with quants, traders and risk teams to translate business requirements into technical solutions
- Develop and integrate REST APIs and backend services
- Contribute to CI/CD pipelines and deployment processes
- Support production systems (L2/L3) including debugging, enhancements and performance optimization
- Write and maintain unit and integration tests. Ensure high code quality and test coverage
- Participate in code reviews and mentor junior developers where required
Must-Have Skills
- Strong experience in Core Python development (6–10 years)
- Strong SQL skills with ability to handle complex queries and large datasets
- Experience with Python libraries (Pandas, NumPy) for data processing
- Experience building RESTful APIs/services (Flask / FastAPI / Django)
- Strong understanding of data structures and performance optimization
- Experience working with large-scale data processing and performance optimization
- Working knowledge of Unix / Linux environments and basic shell scripting
Domain Experience (Critical)
- Experience working in Investment Banking / Capital Markets environments
- Market Risk / CCR / PnL / Trade lifecycle / Reconciliation
- Understanding of financial products such as:
Good-to-Have
- Exposure to PySpark or large-scale data processing
- Experience working with quants or pricing models
- Basic scripting (Unix / Bash)
- Prior experience in global banking environments
Quantitative Python Developer employer: VBeyond Europe
As a leading player in the investment banking sector, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our Quantitative Python Developers benefit from extensive professional growth opportunities, competitive remuneration, and a supportive environment where mentorship is valued. Located in a vibrant financial hub, our team enjoys access to cutting-edge technology and the chance to work alongside industry experts, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Python Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the investment banking sector, especially those who work with trading and risk management. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those related to trading or risk management. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges that focus on data processing and backend development. We all know that confidence in your abilities can make a huge difference!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Quantitative Python Developer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Python development, especially in trading and risk management systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Showcase Your Projects:Include specific examples of your work with data processing pipelines and REST APIs. We love seeing real-world applications of your skills, so share any projects that demonstrate your ability to handle large financial datasets.
Highlight Collaboration Skills:Since this role involves working closely with quants, traders, and risk teams, make sure to mention any collaborative projects you've been part of. We value teamwork, so let us know how you’ve translated business requirements into technical solutions.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at VBeyond Europe
✨Know Your Python Inside Out
Make sure you brush up on your Core Python skills, especially around data structures and performance optimisation. Be ready to discuss your experience with libraries like Pandas and NumPy, as well as any projects where you've built RESTful APIs using Flask or FastAPI.
✨Understand the Financial Landscape
Since this role is in investment banking, it’s crucial to have a solid grasp of market risk, PnL, and trade lifecycle concepts. Familiarise yourself with financial products and be prepared to discuss how your technical skills can solve real-world problems in this domain.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some coding challenges during the interview. Practice writing clean, efficient code and think aloud as you solve problems. This will demonstrate your thought process and ability to handle complex queries and large datasets.
✨Collaboration is Key
Highlight your experience working with quants, traders, and risk teams. Share examples of how you’ve translated business requirements into technical solutions and contributed to system design decisions. This shows you’re not just a coder but a team player who understands the bigger picture.
