We are looking for a Senior Python Engineer to lead the development of our analytics infrastructure, tools, and systems supporting both listed EM debt and private debt portfolios.
Requirements
- Develop end-to-end Python-based tools for portfolio management, analytics, and decision support.
- Build and maintain data pipelines for holdings, pricing, benchmarks, liquidity, and ESG datasets.
- Design and maintain the architecture of the analytics platform, ensuring that data pipelines, models, tools, and integrations operate as a coherent and scalable system.
- Implement portfolio-level and deal-level analytics: Yield curve construction, Spread modelling, Cash-flow projections, Stress testing & scenario analysis, Portfolio optimization.
- Integrate core systems such as: PMS (Portfolio Management Systems), Risk systems (pre-trade, post-trade), Pricing engines, Optimizers and stress-test frameworks.
- Ensure robust engineering practices: Version control (Git), CI/CD pipelines, Code testing & quality assurance, Documentation & reproducibility.
Benefits
- Opportunity to work at the intersection of private and listed impact investing.
- Autonomy and ownership in building scalable, production-grade systems.
- Exposure to real-world investment challenges across private and public credit.
- Competitive salary and performance-driven growth potential.
- 100% remote work setup aligned with Geneva and Zurich time zones.
