AI-Driven Quant Portfolio Engineer (Fixed Income)

credit-agricole-Amundi; Île-de-France; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

credit-agricole-Amundi is seeking a professional in Research & Quantitative Model Development to design and develop quantitative approaches and machine learning algorithms for generating investment signals. The role requires collaboration with research ecosystems and responsibility for the full model lifecycle including prototyping, validation, and maintenance.

The ideal candidate should have strong knowledge in developing supervised and unsupervised models, along with experience in rigorous back-testing frameworks and effective communication with various stakeholders.

Qualifications

• Experience designing and developing quantitative models for investment.
• Proficiency in machine learning techniques and algorithms.
• Knowledge in integrating alternative and unstructured data.

Responsabilités

• Design and implement quantitative models for investment signals.
• Conduct back-testing and validation of models.
• Own full model lifecycle from specification to monitoring.

Connaissances

Machine learning algorithms

Feature engineering

Supervised learning

Unsupervised learning

Data integration

Description du poste

credit-agricole-Amundi is seeking a professional in Research & Quantitative Model Development to design and develop quantitative approaches and machine learning algorithms for generating investment signals. The role requires collaboration with research ecosystems and responsibility for the full model lifecycle including prototyping, validation, and maintenance.

The ideal candidate should have strong knowledge in developing supervised and unsupervised models, along with experience in rigorous back-testing frameworks and effective communication with various stakeholders.