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- 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, 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
Python Developer - Programista in London employer: Vbeyond
Contact Detail:
Vbeyond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer - Programista in 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 interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python libraries like Pandas and NumPy, and how you've tackled large datasets. Practice coding challenges to keep your skills sharp!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Python Developers. Make sure your application stands out by tailoring it to highlight your experience in trading and risk management systems.
We think you need these skills to ace Python Developer - Programista in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with 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 working in investment banking and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills: When filling out your application, make sure to mention your proficiency with SQL, Python libraries like Pandas and NumPy, and any experience with REST APIs. We love seeing candidates who can handle complex datasets and build efficient solutions!
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
✨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 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 lifecycles. Familiarise yourself with financial products like derivatives and bonds, 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 share specific examples of how you've tackled complex queries and worked with large datasets. Highlight any experience you have with building data processing pipelines and automation scripts, as these are key responsibilities in the role.
✨Collaboration is Key
This position involves working closely with quants, traders, and risk teams. Prepare to talk about your experience collaborating with cross-functional teams and how you’ve translated business requirements into technical solutions. Don’t forget to mention any mentoring experiences you’ve had with junior developers!