Internship: Python Econometrics Tools Developer (AI)

Natixis

Paris

Hybrid

EUR 10,000 - 15,000

Full time

3 days ago
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Benefits offered by this job

Internship allowance
Transport refund 60%
One paid leave day per month
Company restaurant access

Job summary

Natixis invites a BAC+4/5 student to join the Econometrics team in Paris for a 6‑month internship as a Developer of econometric tools in Python, with AI agent capabilities. You will contribute to a Python library used across the team and a Streamlit frontend, while exploring AI-driven automation to streamline tasks.

The role focuses on risk metrics, VaR concepts, and processing market data across asset classes, with English fluency and proactive collaboration with mentors throughout the

Qualifications

  • As a BAC+4/5 student, pursuing a university degree with Market or Risk Finance specialization.

Responsibilities

  • Familiarize yourself with existing tools by reading documentation and code.
  • Integrate team analysis tools into the global Python library.
  • Leverage internal LLM resources for AI agent implementations to analyze metrics or detect anomalies.
  • Create a common base library with features useful to daily tasks.
  • Perform post-migration consistency tests and possibly improve code performance.
  • Document steps and establish a modus operandi for new features.
  • Work on risk factors and market data across asset classes.

Skills

Python
AI / Machine Learning
VaR / Risk Metrics
English Fluency

Education

BAC+4/5 student

Tools

Streamlit

Job description

Natixis invites a BAC+4/5 student to join the Econometrics team in Paris for a 6‑month internship as a Developer of econometric tools in Python, with AI agent capabilities. You will contribute to a Python library used across the team and a Streamlit frontend, while exploring AI-driven automation to streamline tasks.

The role focuses on risk metrics, VaR concepts, and processing market data across asset classes, with English fluency and proactive collaboration with mentors throughout the

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