Quantitative Python Engineer
Role details
Job location
Tech stack
Job description
- You design and build scalable, resilient systems that serve as the foundation for the customers quantitative research workflows.
- You develop high-efficiency computing platforms that enable fast, reliable, and large-scale data processing and model execution.
- You write clear, well-structured technical documentation and actively participate in code reviews to ensure quality, readability, and maintainability.
- You promote and uphold engineering best practices across teams, helping to establish a culture of clean, consistent, and forward-thinking development., Apply now as a Quantitative Python Engineer (m/f/x) in Vienna and send your resume to Liv Mintye at l.mintye[at]computerfutures.at. I'm looking forward to your application.
Requirements
Are you ready to bring your Python skills to exciting projects and help shape the digital future? Are you looking for a work environment that fosters innovation and creativity, where your ideas truly matter? Then we have just the right opportunity for you., Our client, an award-winning company in the trading sector, is seeking a passionate Quantitative Engineer (m/f/x) who is excited to push the boundaries of what's possible together with them. If you have a knack for writing clean code, enjoy tackling challenging problems, and want to work in an inspiring team, then read on - your next big adventure starts here, * You have 3-4 years of professional experience as a Python Software Engineer/Quantitative Engineer (m/f/d).
- You have at least two years of experience programming in Python, with solid knowledge of key libraries such as NumPy, Pandas, PyTorch, or TensorFlow.
- You have hands-on experience working with AWS or comparable cloud platforms, and are comfortable building and deploying cloud-native applications.
- You have expertise in at least one of the following domains:
- Quantitative research areas such as econometrics, factor modeling, or algorithmic trading.
- Environmental or meteorological data modeling.
- Applied machine learning, including deep learning and neural networks.
- Robotics systems or sensor network integration.
- You have English language skills at C1 level and basic knowledge of German.
Benefits & conditions
- An incredibly attractive annual gross salary between €85,000 and €100,000, depending on your education and experience.
- Comprehensive external and internal training opportunities to support your professional development.
- The opportunity to exchange ideas with a highly competent team and plenty of freedom to implement your creative ideas.
- Top-notch work equipment that provides you with optimal working conditions.
- Numerous company events.