- Madrid, Madrid, Spain
- Hybrid
- Full-time · Senior
- 10+ years
Design, build, and maintain proprietary in-house databases and data infrastructure to support systematic credit trading activities and develop algorithmic trading strategies.
Compensation
Receive a highly competitive salary with performance-based bonuses
Responsibilities
- Design, build, and maintain proprietary in-house databases and data infrastructure to support systematic credit trading activities.
- Develop, implement, and continuously enhance algorithmic trading strategies across cash bonds, CDS, indices, ETFs, and other credit products.
- Establish and manage an independent two-sided algorithmic market-making and trading book across DM and EM credit markets.
- Research, develop, and deploy multi-factor quantitative models to identify trading opportunities and generate alpha within systematic credit strategies.
Requirements
- Advanced degree in Quantitative Finance, Mathematics, Statistics, Physics, Engineering, Computer Science, or a related quantitative discipline.
- Nice to have: cloud-based data and computing environments
- Nice to have: Bloomberg Terminal
- Nice to have: Bloomberg Data License
- Nice to have: TOMS