Head of AI & Financial Data Engineering

QUANTILIA; Nice; Hybrid; EUR 85,000 - 130,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

Python

SQL

Data analysis

English

French

Education

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

Tools

Tableau

Looker

Power BI

Job description

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