Senior Python Developer

Senior Python Developer

Full-Time 70000 - 90000 € / year (est.) No home office possible
VBeyond Corporation

At a Glance

  • Tasks: Develop and enhance Python applications for trading and risk management in investment banking.
  • Company: Join a leading investment bank with a focus on innovation and technology.
  • Benefits: Attractive salary, comprehensive health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with opportunities to mentor junior developers and work with industry experts.
  • Why this job: Make an impact in finance by working on cutting-edge trading systems and data processing.
  • Qualifications: 7-15 years of Python development experience and strong SQL skills required.

The predicted salary is between 70000 - 90000 € per year.

We are looking for a Senior 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: 7–15 years of experience

Senior Python Developer employer: VBeyond Corporation

As a leading player in the investment banking sector, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our Senior Python Developers benefit from competitive remuneration, comprehensive training programmes, and ample opportunities for professional growth, all while working in a vibrant financial hub that offers a wealth of networking possibilities and cultural experiences.

VBeyond Corporation

Contact Detail:

VBeyond Corporation 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 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 management. 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 Python and SQL skills. Practice coding challenges that focus on data processing and backend development. We all know how crucial it is to demonstrate your expertise during those tricky technical rounds!

✨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 Senior Python Developer

Core Python Development
SQL
Data Processing with Pandas
Data Processing with NumPy
RESTful API Development (Flask / FastAPI / Django)
Data Structures Understanding
Performance Optimization

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 this role and how your background in investment banking makes you a perfect fit. Let us know what excites you about working with us at StudySmarter.

Showcase Your Technical Skills:When detailing your experience, focus on your proficiency with Python libraries like Pandas and NumPy, as well as your SQL skills. We love seeing examples of how you've built REST APIs or handled large datasets, so include those details!

Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!

How to prepare for a job interview at VBeyond Corporation

✨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.

✨Showcase Your SQL Skills

Prepare to demonstrate your ability to handle complex SQL queries. Think of examples where you've worked with large datasets, especially in financial contexts, and be ready to explain your thought process behind optimising those queries.

✨Understand the Financial Domain

Familiarise yourself with key financial concepts such as market risk, PnL, and the trade lifecycle. Being able to speak the language of investment banking will show that you can effectively collaborate with quants and traders.

✨Be Ready for Technical Challenges

Expect to tackle some coding challenges during the interview. Practice building RESTful APIs or data processing scripts, and be prepared to discuss your approach to system design and performance optimisation.