Market Risk Analytics Engineer — Paris

Goldman Sachs Bank AG; Paris; Hybride; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Goldman Sachs in Paris, France, invites applications for a Risk - Software Engineer Associate focused on Market Risk analytics. The role emphasizes delivering metrics, analytics and insights across risk domains with robust data workflows and high data quality, within the Risk Analytics & Reporting group.

The candidate will contribute to modeling, reporting and regulatory submissions, leveraging Python, SQL and BI tools in a dynamic, multidisciplinary environment at GS.

Qualifications

• Masters or Bachelors in a quantitative field (data science, math, physics, econometrics, CS or engineering).
• Entrepreneurial, analytically creative, self-motivated and team-oriented.
• Excellent written and verbal communication skills.
• Working knowledge of financial markets, products and associated non-financial risk.
• Strength in statistics, time-series analysis and numerical methods.
• Proficiency in Python and SQL for ETL and data analysis; knowledge of R/Java/C++ is a plus.
• Experience with BI tools like Tableau, PowerBI, Alteryx is beneficial.
• 2-5 years of experience in financial, regulatory or consulting environments.

Responsabilités

• Deliver regular and reliable risk metrics, analytics and insights for the Market Risk domain.
• Build robust, efficient workflows around risk analytics and regulatory reporting.
• Ensure data quality, timeliness and completeness of underlying datasets.

Connaissances

Entrepreneurial

Analytical

Self-motivated

Team-oriented

Communication

Financial markets knowledge

Python

SQL

ETL

R/Java/C++ (beneficial)

Formation

Quantitative degree

Outils

Python

SQL

R

Java

C++

Tableau/PowerBI

Description du poste

Goldman Sachs in Paris, France, invites applications for a Risk - Software Engineer Associate focused on Market Risk analytics. The role emphasizes delivering metrics, analytics and insights across risk domains with robust data workflows and high data quality, within the Risk Analytics & Reporting group.

The candidate will contribute to modeling, reporting and regulatory submissions, leveraging Python, SQL and BI tools in a dynamic, multidisciplinary environment at GS.