Head of AI & Financial Data Engineering

QUANTILIA

Nice

Hybride

EUR 85 000 - 130 000

Plein temps

Il y a 9 jours

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Résumé du poste

QUANTILIA is seeking a senior Quantitative Analyst to lead the design and validation of performance measures and risk indicators for multi-asset portfolios. The role combines data engineering, AI-driven insights, and hands-on model development in a collaborative, international environment.

You will extract and structure financial data with Python and SQL, automate pipelines for real-time updates, and translate complex instruments into robust mathematical models to support institutional clients

Qualifications

  • Engineering graduate with 5+ years in finance.
  • Deep knowledge of financial instruments across asset classes and ability to translate into models.
  • Expert Python and SQL; BI tools knowledge a plus (Tableau/Looker/PowerBI).
  • Fluent in English and French for presentations.

Responsabilités

  • Design and implement advanced performance measurement models.
  • Develop risk indicators (VaR, stress tests, volatility, correlations).
  • Cross-portfolio analysis including equities, fixed income, derivatives, and alternatives.
  • Extract, clean, structure financial data with SQL and Python.
  • Automate data pipelines for real-time analyses.
  • Present tailor-made investment reports to institutional clients.

Connaissances

Python
SQL
Data analysis
English
French

Formation

Engineering degree or specialized Master’s in Quantitative Finance/Data

Outils

Tableau
Looker
Power BI

Description du poste

QUANTILIA is seeking a senior Quantitative Analyst to lead the design and validation of performance measures and risk indicators for multi-asset portfolios. The role combines data engineering, AI-driven insights, and hands-on model development in a collaborative, international environment.

You will extract and structure financial data with Python and SQL, automate pipelines for real-time updates, and translate complex instruments into robust mathematical models to support institutional clients

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