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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 pay, hybrid work model, 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 finance world with your coding skills.
- 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)
Sr Python Developer employer: Falcon Smart IT (FalconSmartIT)
Contact Detail:
Falcon Smart IT (FalconSmartIT) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Python Developer
✨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 systems. 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 data processing. 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 core Python and SQL skills. Practice coding challenges that focus on data structures and algorithms, as well as building REST APIs. We want you to feel confident when it’s time to shine!
✨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 Sr Python Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight 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 this 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 filling out your application, make sure to highlight your strong SQL skills and experience with Python libraries like Pandas and NumPy. We’re looking for someone who can handle complex queries and large datasets, so let us know what you’ve done!
Apply Through Our Website: Don’t forget to apply 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 all set!
How to prepare for a job interview at Falcon Smart IT (FalconSmartIT)
✨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 not only code but also understand the intricacies of Python in a trading context.
✨Familiarise Yourself with Financial Concepts
Since this role is in investment banking, it’s crucial to have a solid grasp of market risk, PnL, and trade lifecycles. Brush up on financial products like derivatives and bonds. Being able to speak the language of finance will show that you can effectively collaborate with quants and traders.
✨Prepare for Technical Challenges
Expect to face some technical challenges during the interview. Practice coding problems related to data processing and SQL queries, especially those involving large datasets. You might be asked to solve a problem on the spot, so being comfortable with whiteboard coding or pair programming can really help.
✨Showcase Your Collaboration Skills
This role involves working closely with various teams, so be prepared to discuss how you’ve collaborated in the past. Share examples of how you’ve translated business requirements into technical solutions and mentored junior developers. Highlighting your teamwork will demonstrate that you’re a good fit for their collaborative environment.