At a Glance
- Tasks: Develop and enhance 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, comprehensive health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to mentor junior developers and work with industry experts.
- Why this job: Make an impact in finance by working on cutting-edge trading systems and data processing.
- Qualifications: 7-15 years of Python development experience, strong SQL skills, and knowledge of financial products.
The predicted salary is between 80000 - 100000 € per year.
We are looking for a Senior 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
Experience:
- 7–15 years of experience
Python Developer - Programista in City of London employer: VBeyond Corporation
Join a leading investment banking firm that values innovation and collaboration, offering a dynamic work environment for Senior Python Developers. With a strong focus on employee growth, we provide opportunities for professional development through mentorship and hands-on experience with cutting-edge technologies in trading and risk management systems. Located in a vibrant financial hub, our company fosters a culture of excellence and inclusivity, ensuring that every team member contributes to impactful projects while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer - Programista 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 data processing. 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 SQL and Python skills. Practice coding challenges that focus on data structures and algorithms, as these are often key topics in interviews for backend roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Python Developer - Programista 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 investment banking and how your background makes you a perfect fit for our team. Let us know what excites you about the role!
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 love seeing candidates who can handle complex datasets and have a strong grasp of performance optimisation.
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’s super easy – just follow the prompts!
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 past projects where you've developed Python applications for trading and risk management systems.
✨Get Familiar with Financial Concepts
Since the role is in investment banking, it’s crucial to understand market risk, PnL, and trade lifecycles. Prepare to talk about how you've applied these concepts in your previous roles and be ready to answer questions related to financial products like derivatives.
✨Showcase Your SQL Skills
You’ll need strong SQL skills, so practice writing complex queries and handling large datasets. Be prepared to discuss specific examples of how you've used SQL in your previous work, particularly in relation to risk calculations or reporting.
✨Demonstrate Collaboration and Mentorship
This role involves working closely with quants, traders, and mentoring junior developers. Think of examples where you've successfully collaborated on projects or helped others grow their skills, as this will show your ability to work in a team-oriented environment.
