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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 fast-paced world of finance.
- 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 Slough 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 Slough
✨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 demonstrate your expertise during those tricky interview questions!
✨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 Sr Python Developer – Trading / Risk Platforms in Slough
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. Let us know how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Technical Skills: When detailing your experience, focus on your proficiency with Python libraries like Pandas and NumPy, as well as your ability to build RESTful APIs. We love seeing concrete examples of your work, so include any relevant projects or achievements!
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 shows you’re keen on joining the StudySmarter family!
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 any experiences where you translated complex requirements into actionable tech solutions, as teamwork is crucial in this environment.
✨Prepare for Technical Challenges
Expect to face some technical questions or coding challenges during the interview. Practice writing code on a whiteboard or in an online editor. Focus on building data processing pipelines and automation scripts, as well as debugging techniques. They’ll be looking for your problem-solving approach and coding style.