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: Attractive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to mentor junior developers.
- Why this job: Make an impact in finance by building systems that drive trading and risk solutions.
- 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
- Hands-on exposure to: Market Risk / CCR / PnL / Trade lifecycle / Reconciliation
- Understanding of financial products such as: Derivatives (swaps, futures, options), bonds
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
Note: Candidates without capital markets / risk / trading domain experience will not be considered.
Sr Python Developer - Trading / Risk Platforms in City of London employer: VBeyond Corporation
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 employees benefit from extensive growth opportunities, including mentorship from industry experts and access to cutting-edge technology, all while working in a vibrant financial hub that offers a wealth of networking possibilities. Join us to be part of a team that values your contributions and supports your professional journey in the exciting world of trading and risk management.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Python Developer - Trading / Risk Platforms in City of London
✨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 platforms. This gives potential employers a sneak peek into your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python libraries like Pandas and NumPy. Practice coding challenges that focus on data processing and backend development to impress during those crucial interview moments.
✨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 engaged with our platform.
We think you need these skills to ace Sr Python Developer - Trading / Risk Platforms in City of London
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!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about trading and risk platforms. We love seeing candidates who can connect their experience to our needs, so make it personal and engaging.
Showcase Your Technical Skills:Don’t forget to mention your strong SQL skills and experience with Python libraries like Pandas and NumPy. We’re looking for someone who can handle large datasets, so give us examples of how you’ve done this in the past!
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’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at VBeyond Corporation
✨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 Python libraries like Pandas and NumPy, as well as any RESTful APIs you've built using Flask, FastAPI, or Django.
✨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 lifecycles. Familiarise yourself with financial products like derivatives and bonds, so you can confidently discuss how your technical skills apply to real-world trading scenarios.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle some technical challenges during the interview. Think about past experiences where you've had to debug production systems or optimise performance. Sharing specific examples will demonstrate your ability to handle complex issues in a high-stakes environment.
✨Collaboration is Key
This role involves working closely with quants, traders, and risk teams. Highlight your experience in collaborative environments and be ready to discuss how you've translated business requirements into technical solutions. Showing that you can communicate effectively with non-technical stakeholders will set you apart.
