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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: Attractive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- 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
Senior Python Developer in London employer: Vbeyond
Contact Detail:
Vbeyond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python 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 SQL and Python 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 noticed. Plus, we love seeing candidates who are proactive and eager to join our team.
We think you need these skills to ace Senior Python Developer in 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 the role and how your background in investment banking makes you a perfect fit. We love seeing enthusiasm and a personal touch!
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’re looking for someone who can hit the ground running, so make sure we can see your technical prowess clearly.
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 libraries like Pandas and NumPy, as well as any projects where you've built RESTful APIs using Flask, FastAPI, or Django.
✨Get Familiar with Financial Concepts
Since the role is in investment banking, it’s crucial to understand market risk, PnL, and trade lifecycle. Brush up on financial products like derivatives, bonds, and how they relate to trading and risk management systems. This knowledge will help you translate business requirements into technical solutions during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples of how you've tackled complex SQL queries or handled large datasets. Think about times when you’ve optimised performance in your applications or contributed to CI/CD pipelines. Real-world examples will demonstrate your expertise and problem-solving abilities.
✨Collaboration is Key
Highlight your experience working with quants, traders, and risk teams. Discuss how you’ve collaborated to translate business needs into technical solutions. Being able to communicate effectively with non-technical stakeholders is a big plus, so be ready to share examples of successful teamwork.