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, flexible working hours, 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
- Market Risk / CCR / PnL / Trade lifecycle / Reconciliation
- Understanding of financial products such as:
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
Quantitative Python Developer in London employer: VBeyond Europe
As a leading player in the investment banking sector, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our Quantitative Python Developers benefit from extensive professional growth opportunities, competitive compensation packages, and the chance to work with cutting-edge technology in a vibrant financial hub. Join us to make a meaningful impact while advancing your career in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative 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 sneak peek into your coding style and problem-solving abilities.
✨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 technical 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 engaged with our platform.
We think you need these skills to ace Quantitative 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!
Showcase Your Projects:Include specific examples of your work with data processing pipelines and REST APIs. We love seeing real-world applications of your skills, so share any projects that demonstrate your ability to handle large financial datasets.
Be Clear and Concise:When writing your cover letter, keep it straightforward. We appreciate clarity, so make sure you explain how your background fits the key responsibilities of the role without rambling on.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at VBeyond Europe
✨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 or FastAPI.
✨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 explain complex financial products in simple terms.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in building backend applications or data processing pipelines. Use examples that highlight your ability to debug, enhance, and optimise production systems, as well as your experience with CI/CD processes.
✨Collaboration is Key
This role involves working closely with quants, traders, and risk teams. Think of examples where you've successfully collaborated with cross-functional teams to translate business requirements into technical solutions. Highlight any mentoring experiences you’ve had with junior developers too!
