Quantitative Developer

We are seeking a highly skilled and analytical Python Quant Developer. The focus will be on work to re-architect and migrate an application written in MATLAB to Python; in addition, developing, back-testing, and deploying quantitative models and trading strategies.

This is an initial 2 Year contract and requires candidate to be based or relocate to Switzerland

• Design, implement, and maintain Python-based quantitative models for yield curve modeling, pricing, risk management, and portfolio optimization
• Develop and execute back-tests and stress tests to validate strategy performance across market regimes
• Collaborate with quantitative researchers and traders to translate mathematical models into production‑ready code.
• Integrate models with data feeds (market, reference, and alternative data) and ensure data pipelines are robust and scalable
• Optimize code performance for low latency and high throughput in both research and production environments
• Implement version control, CI/CD pipelines, and automated testing frameworks to ensure code quality and reproducibility
• Monitor, maintain, and troubleshoot existing applications; deploy model updates with minimal disruption

• Around 5 years of experience as a Quant Developer, Quantitative Analyst, or similar role with a focus on Python-based implementation of trading/risk models
• Proficiency in Python libraries such as Num Py, Pandas, Sci Py, stats models, prophet, Darts, and Quant Lib
• Experience developing and back‑testing strategies using frameworks like Zipline, Back trader, or custom solutions
• Strong understanding of financial instruments (equities, fixed income, derivatives) and quantitative techniques (Time Series Analysis, Monte Carlo simulation)
• Prior experience in developing Python applications in the financial industry