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, 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 Core Python 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 Programmer/ Developer in London employer: Vbeyond
Contact Detail:
Vbeyond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Programmer/ Developer 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 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 core Python skills and SQL queries. Practice coding challenges that focus on data processing and backend development to ensure you're ready to impress when it counts.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities tailored for Python Developers like you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Python Programmer/ Developer 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. 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 Python programming and how your background in investment banking makes you a perfect fit for us. Keep it engaging and personal.
Showcase Your Technical Skills: When listing your skills, focus on those that are crucial for the role, like Core Python, SQL, and experience with REST APIs. We love seeing specific examples of how you've used these skills in past roles.
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!
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 libraries like Pandas and NumPy, as well as any projects where you've built RESTful APIs 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 share specific examples of how you've tackled challenges in previous roles, particularly around debugging and performance optimisation. Highlight any experience you have with CI/CD pipelines and how you've contributed to system design and architecture.
✨Collaboration is Key
This role involves working closely with quants, traders, and risk teams, so be ready to talk about your collaborative experiences. Discuss how you've translated business requirements into technical solutions and any mentoring you've done for junior developers.