AI-Driven Fixed Income Portfolio Engineer

Amundi; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

Amundi is seeking a Quantitative AI Portfolio Engineer to design and develop machine learning algorithms for investment signals in fixed income markets. This role demands collaboration with research teams and involves managing the full model lifecycle, from development to monitoring.

Ideal candidates will have an advanced degree in quantitative finance, 3-5 years of relevant experience, and strong programming skills in Python. The position is based in Paris and requires fluency in French and professional proficiency in English.

Qualifications

• 3-5 years of experience in quantitative research or data science applied to financial markets.
• Strong programming skills in Python and SQL.
• Familiarity with cloud platforms such as AWS or GCP.

Responsabilités

• Design and develop quantitative approaches and machine learning algorithms for investment signals.
• Own the full model lifecycle from specification to monitoring.
• Collaborate with the research ecosystem to implement innovations.

Connaissances

Machine learning techniques

Data science

Python programming

Quantitative research

NLP

SQL

Data engineering tools

Formation

Advanced degree in quantitative finance or equivalent

Outils

PyTorch/TensorFlow

Airflow

SQL

Description du poste

Amundi is seeking a Quantitative AI Portfolio Engineer to design and develop machine learning algorithms for investment signals in fixed income markets. This role demands collaboration with research teams and involves managing the full model lifecycle, from development to monitoring.

Ideal candidates will have an advanced degree in quantitative finance, 3-5 years of relevant experience, and strong programming skills in Python. The position is based in Paris and requires fluency in French and professional proficiency in English.