Intern (AI-Focused at Credit Trading Desk, APAC) (6 months)

Descrizione del lavoro:

Company Description

Natixis Corporate & Investment Banking is a leading global financial institution that provides advisory, investment banking, financing, corporate banking and capital markets services to corporations, financial institutions, financial sponsors and sovereign and supranational organizations worldwide.
Our teams of experts in close to 30 countries advise clients on their strategic development, helping them to grow and transform their businesses, and maximize their positive impact. Natixis CIB is committed to aligning its financing portfolio with a carbon neutrality path by 2050 while helping its clients reduce the environmental impact of their business.
As part of Groupe BPCE, the second largest banking group in France through the Banque Populaire and Caisse d'Epargne retail networks, Natixis CIB benefits from the Group's financial strength and solid financial ratings (Standard & Poor's: A+, Moody's: A2, Fitch: A+, R&I: A+).

Job Description

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)