4 meilleures offres (machine learning engineer h/f, paris, a8) (à pourvoir)

Quantitative AI Portfolio Engineer (Fixed Income) H/F
Amundi —Paris (75)
- Azure
- Anglais
- Java
Consultant Product Owner IA Senior - H/F - CDI
Talan —Paris (75)
- De 55 000 € à 70 000 € par an
- Temps plein
- Azure
- Niveau Doctorat
- Ingénierie
- Actionnariat salarié
Postuler rapidement
Consultant Product Owner IA Senior H/F
Talan —Paris (75)
- Temps plein
- Azure
- Niveau Doctorat
- Ingénierie
- Actionnariat salarié
Data Engineer GCP H/F
Open SAS —Levallois-Perret (92)
- SQL
- Python
Postuler rapidement
il y a 1 jour

Related jobs to explore

Based on your search for machine learning engineer h/f

Backend Developer (.Net Core) - Member Lifecycle & User engagement (H/F/X)
Veepee —Paris (75)
Operating across various sectors, including fashion, home, wine, travel or beauty... Develop new features across APIs, background workers, importers, schedulers…
Quantitative AI Portfolio Engineer (Fixed Income) H/F
Amundi —Paris (75)
Premier gérant d'actifs européen parmi les 10 premiers acteurs mondiaux (1), Amundi propose à ses 100 millions de clients - particuliers, institutionnels et…

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : machine learning engineer h/f (paris, a8)

En vous connectant à votre compte, vous acceptez les Conditions d'utilisation de SimplyHired et consentez à notre Politique relative aux cookies et Politique de confidentialité.

Quantitative AI Portfolio Engineer (Fixed Income) H/F

Amundi -
Paris (75)

Soumettre votre candidature

Détails de l'emploi

Qualifications

Français
TensorFlow
Azure
PyTorch
Spark
Anglais
Google Cloud Platform
Java
Finance
Master
Pandas
C++
Machine learning
NLP
Kafka
Python

Description complète du poste

Description du poste

· Research & Quantitative Model Development

Design and develop quantitative approaches and machine learning algorithms to generate investment signals on interest rates (curve dynamics, term premia, vol, macro linkages), and credit markets (spread dynamics, momentum, carry, liquidity, regime effects).

Perform advanced feature engineering (macro, market microstructure, flows, liquidity, ESG, sentiment).

Develop supervised and unsupervised learning models:

> regression, classification, clustering,

> tree-based models, ensemble methods,

> deep learning architectures (LSTM, Transformers when relevant).

Integrate alternative and unstructured data (news feeds, central bank communications, broker research, transcripts, regulatory publications).

Build & maintain a reusable internal library of features, models, preprocessing pipelines,

validation tools.

Collaborate with the research ecosystem (e.g. Amundi Institute) to translate academic innovations into operational investment models.

· Back-testing & Validation

Implement and oversee robust back-testing frameworks addressing biases (look-ahead, survivorship), transaction costs, liquidity constraints and slippage.

Perform deep robustness analysis via stress tests, walk-forward analysis, bootstrap methods and stability checks across market regimes, including crisis periods.

Measure risk-adjusted performance of strategies and evaluate sensitivity to macro and market factors.

Define clear model acceptance criteria, rejection thresholds and degradation metrics.

· Engineering & Productionisation

Own the full model lifecycle: specification, prototyping, validation, industrialization, monitoring and maintenance.

Implement monitoring and alerting for data drift, model drift and performance decay, and define rollback procedures.

· Reporting & Documentation

Document methodologies, assumptions, validation metrics and production procedures.

Prepare reports and presentations for senior management, investment committees and client-facing teams.

Communicate model rationale, risks, limitations, and governance aspects clearly to non-technical stakeholders.

Actively contribute to model governance, internal audits, regulatory reviews when applicable.

Critères de candidature
Date de prise de fonction
06/07/2026
Poste avec management
Non
Cadre / Non Cadre
Cadre
Niveau d'étude minimum
Bac + 5 / M2 et plus
Formation / Spécialisation
Advanced degree in quantitative finance, financial engineering, applied mathematics, computer science, data science or equivalent.
Significant experience (1+ to 6-7 years) in quantitative research, data science applied to financial markets, or systematic strategy development.
Niveau d'expérience minimum
3 - 5 ans
Compétences recherchées
- Strong knowledge of modern machine learning techniques (neural networks, XGBoost, sequence models such as RNN/LSTM/Transformer, ensemble methods).- Practical experience in NLP (Transformers (BERT), embeddings, fine-tuning, Clustering, Classification and sentiment analysis) applied to financial text.- Solid understanding of fixed income markets (yield curve structure, credit spreads, interest-rate derivatives) and portfolio constraints.- Strong programming skills in Python (Pandas, scikit-learn, hugging face, spaCy, sentence-transformers, PyTorch/TensorFlow, pyspark), SQL. C++/Java knowledge is a plus.- Familiarity with data engineering tools (Airflow, Spark, Kafka) and cloud platforms (AWS/GCP/Azure) is advantageous. · Behavioral Skills - Scientific mindset, intellectual curiosity and experimental rigor.- Ability to synthesize and explain technical results to non-technical audiences.- Autonomy, initiative and strong collaboration in cross-functional teams.- Production-oriented mindset with focus on reproducibility and operational robustness.
Langues
Fluent in French and professional proficiency in English.

Entreprise Amundi
Premier gérant d'actifs européen parmi les 10 premiers acteurs mondiaux (1), Amundi propose à ses 100 millions de clients - particuliers, institutionnels et entreprises - une gamme complète de solutions d'épargne et d'investissement en gestion active et passive, en actifs traditionnels ou réels. Cette offre est enrichie de services et d'outils technologiques qui permettent de couvrir toute la chaîne de valeur de l'épargne. Filiale du groupe Crédit Agricole, Amundi est cotée en Bourse et gère aujourd'hui près de 2 300 milliards d'euros d'encours (2). Ses six plateformes de gestion internationales (3), sa capacité de recherche financière et extra-financière, ainsi que son engagement de longue date dans l'investissement responsable en font un acteur de référence dans le paysage de la gestion d'actifs.
Les clients d'Amundi bénéficient de l'expertise et des conseils de 5 500 professionnels dans 35 pays.
Amundi, un partenaire de confiance qui agit chaque jour dans l'intérêt de ses clients et de la société.

(1) Source : IPE « Top 500 Asset Managers » publié en juin 2025 sur la base des encours sous gestion au 31/12/2024
(2) Données Amundi au 30/06/2025
(3) Paris, Londres, Dublin, Milan, Tokyo et San Antonio (via notre partenariat stratégique avec Victory Capital)

Soumettre votre candidature

Affinez votre recherche

machine learning engineer h/f emplois - paris, a8

Quantitative AI Portfolio Engineer (Fixed Income) H/F

Consultant Product Owner IA Senior - H/F - CDI

Consultant Product Owner IA Senior H/F

Data Engineer GCP H/F

Related jobs to explore

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : machine learning engineer h/f (paris, a8)

Related Searches

Description du poste

Critères de candidature

Entreprise Amundi

Outils pour les chercheurs d'emploi

Outils Employeurs

Parcourir

Garder le contact