Fixed Income Quant Analyst - Machine Learning F/M

Détail de l'offre

Informations générales

Référence

2024-302  

Description du poste

Métier

Investment Management - Investment Management

Intitulé du poste

Fixed Income Quant Analyst - Machine Learning F/M

Contrat

Internship

Durée du contrat

6-month Internship from April 2025

Présentation de Candriam Group

Candriam is a global multi-specialist asset manager and a recognized pioneer and leader in sustainable investment. For more than 25 years, Candriam has offered innovative and diversified investment solutions across many asset classes including fixed income, equities, absolute return , asset allocation and illiquid assets.

As a Responsible Employer, Equal Employment Opportunity is crucial to Candriam. We are committed to building the best global team that represents a variety of backgrounds, perspectives, and skills. We provide an inclusive work environment and support wellbeing and work-life balance.

Mission

The Fixed Income Quant team is looking for a trainee to set up an in house framework for prediction issues based on Machine Learning techniques.

Responsabilité

- This internship will be the second phase of an ambitious project of building a complete quantitative infrastructure to backtest Fixed Income trading strategies implying Machine Learning technique;

- An important work has already been done on forecasting strategies. We would like now to extend our framework to Relative Value strategies

- This is a very difficult project implying a solid background in Machine learning techniques, Finance and Fixed Income markets. Strong conceptualization and development skills (including object-oriented programming) are an absolutely necessary prerequisite for this internship.

Profil

A proven experience in Machine Learning is essential.
An internship in capital markets would be a plus.

- Python
- Excel/VBA
- Quantitative Finance

#LI-POST

Localisation du poste

Localisation du poste

Europe, France

Paris

Critères candidat

Niveau d'études min. requis

4- Master's Degree II ou MBA / Bac +5

Niveau d'expérience min. requis

Inférieur à 2 ans

Langues

  • Anglais (C1 - Courant)
  • Français (C1 - Courant)