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- Tasks: Develop and enhance Python applications for trading and risk management.
- Company: Leading investment bank with a focus on innovation and collaboration.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Exciting opportunity to work with large datasets and cutting-edge technologies.
- Why this job: Join a dynamic team and make an impact in the financial sector.
- Qualifications: 6-10 years of Python development experience and strong SQL skills required.
The predicted salary is between 70000 - 90000 £ 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
Experience: ~7–12 years of experience
Note: Candidates without capital markets / risk / trading domain experience will not be considered.
Sr Python Developer - Trading / Risk Platforms in London employer: Crisil
Contact Detail:
Crisil Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Python Developer - Trading / Risk Platforms 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 systems. 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 Python and SQL skills. Practice coding challenges that focus on data processing and backend development. We all know how crucial it is to nail those technical questions!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Sr Python Developer - Trading / Risk Platforms 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 trading and risk platforms. We love seeing candidates who can connect their personal experiences to our mission at StudySmarter.
Showcase Your Technical Skills: When listing your skills, focus on your proficiency with Python libraries like Pandas and NumPy, as well as your experience with REST APIs. We’re keen on seeing how you’ve used these tools in real-world scenarios.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Crisil
✨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 RESTful APIs you've built. They’ll want to see that you can handle complex queries and large datasets.
✨Understand the Trading and Risk Landscape
Familiarise yourself with key concepts in investment banking, particularly around market risk, PnL, and trade lifecycles. Being able to speak knowledgeably about financial products like derivatives will set you apart. Show them you understand the domain and can translate business needs into technical solutions.
✨Showcase Your Collaboration Skills
This role involves working closely with quants, traders, and risk teams. Prepare examples of how you've successfully collaborated in the past. Highlight your ability to communicate technical concepts to non-technical stakeholders, as this is crucial for translating requirements effectively.
✨Demonstrate Your Problem-Solving Abilities
Be ready to discuss specific challenges you've faced in production systems, including debugging and performance optimisation. Share your experiences with CI/CD pipelines and how you've contributed to system design and architecture decisions. This will show your proactive approach to problem-solving.