Description de l’entreprise
Natixis Corporate & Investment Banking est une institution financière mondiale de premier plan qui fournit des services de conseil, de banque d'investissement, de financement, de banque d'entreprise et de marchés de capitaux aux entreprises, institutions financières, sponsors financiers et organisations souveraines et supranationales du monde entier. Nos équipes d'experts dans plus de 30 pays conseillent nos clients sur leur développement stratégique, les aident à développer et à transformer leurs activités, et à maximiser leur impact positif. Natixis CIB Asia Pacific propose aux entreprises et aux institutions financières régionales des solutions de financement et de marchés de capitaux sur mesure ainsi qu'un accès aux marchés financiers mondiaux, tout en accompagnant le développement des clients européens et internationaux de Natixis CIB en Asie-Pacifique.
Poste et missions
Main Responsibilities:
- Propose innovative AI-based or Python-based solutions for Trading desk automation and data analysis
- Perform trading desk support projects for senior traders
- Learn the sales & Trading environment
- Currently pursuing or recently graduated with a Bachelor’s, Master’s, in a quantitative discipline. Preferred fields of study: Computer Science, Artificial Intelligence/Machine Learning, Quantitative Finance, Operations Research, or Financial Engineering.
- Duration: 6 months
Required Skills:
Core Competencies
- Passion in Finance: A strong interest in financial markets, and trading mechanics.
- Problem-Solving Mindset: A proactive "builder" mentality
- Communication: Ability to translate complex technical concepts into simple terms for traders and business stakeholders.
- Thrive Under Pressure: Comfort working in a fast-paced, dynamic, trading floor environment.
Technical Skills
Essential:
- AI/ML Frameworks: Practical experience working with LLM APIs and CLIs (OpenAI, Claude, etc.), prompt engineering
- SQL database knowledge (writing queries, basic database design).
Preferred:
- VBA & Python: Strong proficiency in VBA & Python is mandatory (knowledge of libraries such as pandas, numpy, scipy, requests).
- Experience with Bloomberg API (B-Pipe) or other financial data feeds (Reuters, FactSet).
- Familiarity with building quick UI wrappers (Streamlit, Gradio, or basic web frameworks).
- Experience with VBA/Excel automation (specifically interfacing Excel with Python, and via libraries like xlwings).