At a Glance
- Tasks: Develop and enhance Python applications for trading and risk management.
- Company: Join a leading investment bank with a focus on innovation.
- Benefits: Competitive 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 working on cutting-edge trading systems.
- Qualifications: 6-10 years of Python development experience and strong SQL skills required.
The predicted salary is between 70000 - 90000 € 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 employer: VBeyond Corporation
Join a leading investment banking firm that values innovation and collaboration, where as a Sr Python Developer, you will play a pivotal role in enhancing trading and risk management systems. Our dynamic work culture fosters continuous learning and professional growth, offering opportunities to mentor junior developers and engage with cross-functional teams. Located in a vibrant financial hub, we provide competitive benefits and a supportive environment that encourages creativity and excellence in the fast-paced world of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Python Developer – Trading / Risk Platforms
✨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 systems. 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 seen by the right people. Plus, we love seeing candidates who are proactive and engaged in their job search.
We think you need these skills to ace Sr Python Developer – Trading / Risk Platforms
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:When filling out your application, be sure to mention your proficiency with Python libraries like Pandas and NumPy, as well as your experience with RESTful APIs. We’re looking for developers who can hit the ground running, so highlight those skills!
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 the StudySmarter 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 the libraries like Pandas and NumPy. Be ready to discuss how you've used these in past projects, particularly in trading or risk management contexts.
✨Understand the Financial Landscape
Familiarise yourself with key concepts in investment banking, such as market risk, PnL, and the trade lifecycle. Being able to speak the language of finance will show that you can effectively collaborate with quants and traders.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in building backend applications or data processing pipelines. Highlight how you optimised performance or improved workflows, as this is crucial for the role.
✨Be Ready for Technical Questions
Expect questions about RESTful APIs and CI/CD processes. Brush up on your experience with deployment and debugging in production systems, as well as your approach to writing unit and integration tests.
