Risk Analytics Engineer – Market Risk Insights

Goldman Sachs; Paris; Sur place; EUR 75 000 - 105 000; Plein temps

Résumé du poste

Goldman Sachs is seeking a Market Risk Analytics & Reporting professional within Risk Engineering to deliver cross-domain risk metrics and insights focused on market risk. The role emphasizes scalable workflows and robust analytics to support senior leadership, regulators and investors.

You will work with Python and SQL for ETL, develop data visualizations with Tableau/Power BI, and collaborate with teams to ensure data quality and timely risk reporting.

Qualifications

• Masters or Bachelor's degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering.
• 2-5 years of experience in financial risk, analytics or consulting.
• Proficiency in Python and SQL for ETL and data analysis; knowledge of R/Java/C++ is a plus.
• Experience with data visualization tools (Tableau, Power BI, Alteryx).
• Strong written and verbal communication and teamwork.

Responsabilités

• Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and client activities.
• Building robust, systematic & efficient workflows around the production of risk analytics for financial and non-financial risk, risk capital and regulatory reporting.
• Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics.

Connaissances

Python

SQL

Time series analysis

Statistical methods

Data visualization

Communication

Team collaboration

Formation

Master's or Bachelor's degree in quantitative discipline

Outils

Tableau

Power BI

Alteryx

R

Java

C++

Description du poste

Goldman Sachs is seeking a Market Risk Analytics & Reporting professional within Risk Engineering to deliver cross-domain risk metrics and insights focused on market risk. The role emphasizes scalable workflows and robust analytics to support senior leadership, regulators and investors.

You will work with Python and SQL for ETL, develop data visualizations with Tableau/Power BI, and collaborate with teams to ensure data quality and timely risk reporting.