At a Glance
- Tasks: Develop and enhance Python applications for trading and risk management.
- Company: Join a leading investment bank with a focus on innovation.
- 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 the finance world while working with cutting-edge technology.
- 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 City of 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 City of 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 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 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 City of 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, and how your background makes you a perfect fit for our team. Let us know what excites you about the role!
Showcase Your Technical Skills: When filling out your application, be sure to mention your proficiency with Python libraries like Pandas and NumPy, as well as your experience with REST APIs. We love seeing candidates who can handle complex datasets and have a solid grasp of performance optimisation.
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 and you’ll be good to go!
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 the libraries like Pandas and NumPy. Be ready to discuss how you've used these in past projects, particularly in trading or risk management contexts.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL prowess by discussing complex queries you've written. Think of examples where you've handled large datasets, as this will be crucial for the role.
✨Understand the Financial Landscape
Familiarise yourself with financial products like derivatives and bonds, as well as concepts like market risk and PnL. Being able to speak the language of investment banking will set you apart from other candidates.
✨Collaboration is Key
Be ready to talk about your experience working with quants, traders, and risk teams. Highlight any instances where you've translated business requirements into technical solutions, as collaboration is a big part of the role.