At a Glance
- Tasks: Build backend applications and data processing logic for trading and risk platforms.
- Company: Leading investment bank with a focus on innovation and collaboration.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Mentorship opportunities and a chance to work with cutting-edge financial technologies.
- Why this job: Join a dynamic team and make an impact in the fast-paced world of finance.
- Qualifications: 7-12 years of Python development experience and strong SQL skills required.
The predicted salary is between 70000 - 90000 € per year.
Location: London
Type of Work: Hybrid (2-3 days in a week from Office)
Employment Type: Permanent/Contract (Inside IR35)
Experience: 7–12 years
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
Note: Candidates without capital markets / risk / trading domain experience will not be considered.
Senior Python Developer employer: ScaleneWorks People Solutions LLP
As a Senior Python Developer in our London office, you will thrive in a dynamic hybrid work environment that fosters collaboration and innovation. We offer competitive benefits, a strong focus on employee growth through mentorship and training, and the unique opportunity to work alongside industry experts in the fast-paced world of trading and risk management. Join us to make a meaningful impact while enjoying a supportive and inclusive work culture.
Contact Detail:
ScaleneWorks People Solutions LLP Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Python Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and tech sectors. Attend meetups or webinars related to trading and risk platforms. You never know who might have the inside scoop on job openings!
✨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 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 recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨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 about their job search!
We think you need these skills to ace Senior Python Developer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python development and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
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:Be specific about your technical expertise, especially in Python libraries like Pandas and NumPy. We’re looking for developers who can hit the ground running, so make sure we know what you bring to the table!
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 to join our team!
How to prepare for a job interview at ScaleneWorks People Solutions LLP
✨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 contexts.
✨Showcase Your SQL Skills
Prepare to demonstrate your ability to handle complex SQL queries. Think of examples where you've worked with large datasets and how you optimised performance. This will show that you can manage the data processing aspects of the role.
✨Understand the Financial Landscape
Familiarise yourself with key concepts in investment banking and capital markets. Be prepared to discuss market risk, PnL, and trade lifecycles, as this knowledge is crucial for translating business requirements into technical solutions.
✨Be Ready for Technical Challenges
Expect to tackle some coding challenges during the interview. Practice writing RESTful APIs and think about how you would contribute to CI/CD pipelines. This will demonstrate your hands-on experience and problem-solving skills.
