Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop Python applications for trading and risk management in investment banking.
- Company: Adroit People, a dynamic player in the finance tech space.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborate with industry experts and enhance your skills in a fast-paced environment.
- Why this job: Join a team that shapes the future of finance with innovative tech solutions.
- Qualifications: 6-10 years of Python development experience and strong SQL skills required.
The predicted salary is between 60000 - 80000 £ per year.
Greetings! Adroit People is currently hiring.
Location: London, UK
Employment Type: Contract
Mode: Hybrid
Job Spec: 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)
Python Developer employer: Adroit People Limited (UK)
Contact Detail:
Adroit People Limited (UK) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the investment banking sector and let them know you're on the hunt for a Python Developer role. A personal recommendation can go a long way in landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to trading and risk management. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Python libraries like Pandas and NumPy. Practice coding challenges that focus on data processing and backend development to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented developers like you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Python Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Python Developer role. Highlight your experience with trading and risk management systems, and don’t forget to showcase your skills in Core Python and SQL. We want to see how your background fits perfectly with what we’re looking for!
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 experience aligns with our needs. Be sure to mention any specific projects or achievements that demonstrate your expertise in building backend applications and working with large datasets.
Showcase Your Technical Skills: When filling out your application, make sure to highlight your technical skills clearly. Mention your experience with Python libraries like Pandas and NumPy, as well as your familiarity with RESTful APIs. We love seeing candidates who can back up their claims with real examples!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy – just follow the prompts and you’ll be all set!
How to prepare for a job interview at Adroit People Limited (UK)
✨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 and risk management systems.
✨Understand the Financial Landscape
Familiarise yourself with investment banking concepts, especially market risk and trade lifecycles. Being able to speak the language of finance will show that you can effectively collaborate with quants and traders.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in building backend applications or data processing pipelines. Highlight how you optimised performance or improved workflows, as this is crucial for the role.
✨Be Ready for Technical Questions
Expect questions about RESTful APIs and CI/CD processes. Brush up on your SQL skills too, as you'll likely need to demonstrate your ability to handle complex queries and large datasets during the interview.