Head of IA & Financial Data Engineering

QUANTILIA; Nice; Hybride; EUR 85 000 - 130 000; Plein temps

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

Within the research and analysis team, you will be responsible for the exploitation and interpretation of investment data. Your mission is to design performance and risk analysis models for multi asset portfolios, integrating machine learning algorithms and combining mathematical rigor with technological excellence.

Mission :

Quantitative Analysis and Modeling

• Design and implement advanced performance measurement models
• Develop sophisticated risk indicators (VaR, Stress tests, Volatility, correlation analysis, etc.)
• Ensure cross portfolio analysis including complex instruments (Equities, Fixed Income, Derivatives, Private Equity, UCITS, Alternatives)

Data Engineering and AI

• Extract, clean, and structure financial data flows using SQL and Python
• Automate data pipelines to ensure reliability and real time updates of analyses
• Optimize existing algorithms to improve platform scalability

Business Expertise and Client Relations

• Produce tailor made investment reports for a demanding institutional client base
• Proficiency in BI tools (Tableau)
• Interact with product teams to integrate new analytical features based on your research

Profile :

Your key skills and experience:

• Experience & Education: Graduate of an Engineering program (or a specialized Master’s in Quantitative Finance/Data), you have at least 5 years of experience in the finance sector.
• Business Expertise: With at least 5 years of successful experience in finance (banking, insurance, etc.), you have a thorough understanding of financial instruments and concepts across all asset classes, know how to translate them into mathematical models, and are familiar with certain regulations.
• Technical Proficiency: You are an expert in Python and SQL. Knowledge of BI tools (Tableau, Looker, PowerBI) is a plus.
• Languages: Given our international environment (6 nationalities), you are able to present your analyses in both English and French.

Your Mindset:

• Absolute Rigor: In finance, the details make the difference. You have a methodical approach and strong critical thinking skills.
• Ability to Synthesize: You know how to extract what matters most from large volumes of data and turn it into something actionable.
• Curiosity: You stay continuously up to date on new analytical methods and developments in the Fintech sector.

Additional Requirements Added by the Job Poster

• More than 5 years of experience in Financial Services
• More than 5 years of professional experience in Python

What We Offer :

• Work on strategic projects with a strong technological and business focus;
• Contribute to structuring projects within a professional and international environment;
• Grow within a committed and high-performing team in a continuously expanding company;
• Offices located in the heart of Nice, just steps away from the sea.