3. Main Objectives

• Define and develop statistical models to generate trading signals
• Collaborate with quantitative developers responsible for pricing libraries to compute advanced market inputs
• Work alongside data scientists to explore the integration of AI-based methodologies
• Build and deploy automated trading strategies in close coordination with front-office traders
• Perform extensive testing to ensure robustness and reliability of signals and strategies
• Document methods, results, and workflows in coordination with quant and trading teams

4. IT and Strong Skills

Required:

• Proficiency in Python
• Experience with statistical modeling and signal generation
• Strong analytical and programming skills

Preferred:

• Experience working on model development in a front-office environment
• Understanding of fixed income products and market dynamics

5. Soft Skills

• Ability to work collaboratively with multidisciplinary teams (quants, traders, data scientists)
• Strong communication skills (both written and verbal)
• Rigorous, detail-oriented, and committed to delivering high-quality results
• Capacity to work under pressure and manage shifting priorities

6. Mandatory Requirements

• 5+ years of experience in quantitative research or trading strategy development
• Experience in developing tools or strategies for fixed income markets
• Proficiency in Python and experience in a quantitative research environment
• Previous experience working with trading desks or within a front-office quant team is a strong plus