Sr Python Developer – Trading / Risk Platforms

Sr Python Developer – Trading / Risk Platforms

Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Crisil

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: Attractive 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 finance by working on cutting-edge trading systems.
  • Qualifications: 6-10 years of Python development experience and strong SQL skills required.

The predicted salary is between 70000 - 90000 Β£ 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 employer: Crisil

Join a leading investment banking firm that values innovation and collaboration, where your expertise as a Sr Python Developer will directly impact trading and risk management systems. Our dynamic work culture fosters continuous learning and professional growth, offering opportunities to mentor junior developers and engage with cross-functional teams. Located in a vibrant financial hub, we provide competitive benefits and a supportive environment that encourages creativity and excellence.

Crisil

Contact Details:

Crisil Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Sr Python Developer – Trading / Risk Platforms

✨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 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 and engaged in their job search.

We think you need these skills to ace Sr Python Developer – Trading / Risk Platforms

Core Python Development
SQL
Data Processing (Pandas, NumPy)
RESTful APIs (Flask, FastAPI, Django)
Data Structures
Performance Optimization
Large-Scale Data Processing

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!

Showcase Your Projects:Include specific examples of backend applications or data processing pipelines you've built. We love seeing real-world applications of your skills, especially if they relate to financial datasets or risk calculations.

Highlight Collaboration Skills:Since this role involves working closely with quants, traders, and risk teams, mention any collaborative projects you've been part of. We value teamwork, so let us know how you’ve translated business needs into technical solutions.

Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role without any hiccups!

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 using Flask or FastAPI.

✨Understand the Financial Landscape

Since this role is in investment banking, it's crucial to have a solid grasp of market risk, PnL, and the trade lifecycle. Familiarise yourself with financial products like derivatives and bonds, so you can speak confidently about how your technical skills apply to real-world scenarios.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles, particularly around debugging and enhancing production systems. Highlight your experience with CI/CD pipelines and how you've contributed to system design and scalability decisions.

✨Be Ready to Collaborate

This role involves working closely with quants, traders, and risk teams. Think of examples where you've successfully translated business requirements into technical solutions. Emphasise your teamwork skills and any mentoring experience you have with junior developers.