Quantitative Risk Analytics Analyst - Python & Risk Modeling

ENGIE; La Garenne-Colombes; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

ENGIE is seeking a Quantitative Risk Analytics Analyst in France to join the Risk Analytics team. You will bridge front office quants, risk quants, and IT to align pricing and risk models with practical risk management and monitoring needs.

You will analyze market and counterparty risk metrics, contribute to reserves and valuation adjustments, and develop Python-based analytics tools to automate risk workflows and improve data quality. Fluency in French and English is essential.

Qualifications

• Master’s degree in quantitative finance, financial engineering, applied mathematics or related field.
• 5 years of experience in quantitative risk, market risk or model risk within a financial institution.
• Strong knowledge of derivatives, risk metrics (VaR, ES, XVA) and pricing/risk concepts.
• Excellent Python skills for analysis, automation and data structures.
• Excellent communication and collaboration abilities with stakeholders.

Responsibilities

• Analyze the impact of new or updated pricing and risk models on risk metrics and reserves.
• Bridge quants and risk teams with IT to align modeling standards with risk monitoring needs.
• Analyze and monitor market and counterparty risk metrics and valuation mechanics.
• Contribute to calculation and review of valuation adjustments and reserves.
• Develop Python-based tools to automate risk workflows and improve data quality.
• Help design and industrialize next-generation risk analytics infrastructure.

Skills

Python

Quantitative Finance

Risk Metrics

Communication

Teamwork

Analytics

Education

Master's degree in Quantitative Finance or related

Tools

Python (NumPy/Pandas)

Job description

ENGIE is seeking a Quantitative Risk Analytics Analyst in France to join the Risk Analytics team. You will bridge front office quants, risk quants, and IT to align pricing and risk models with practical risk management and monitoring needs.

You will analyze market and counterparty risk metrics, contribute to reserves and valuation adjustments, and develop Python-based analytics tools to automate risk workflows and improve data quality. Fluency in French and English is essential.