We are searching for an experienced
Commodity Market Risk Analyst to join the regional risk hub of a leading multinational trading organization.
This hybrid position sits at the intersection of
commercial market risk and
quantitative analytics. You will own daily risk analytics, analyze portfolio drivers, and leverage tools like
Python, SQL, and Power BI to automate risk workflows and enhance decision-making dashboards for senior leadership.
Responsibilities - Calculate, validate, and report daily risk metrics including Value at Risk (VaR), portfolio sensitivities, and margin exposures across multi-asset trading portfolios.
- Perform deep-dive investigations into VaR movements and P&L drivers, connecting portfolio risk to real-world market dynamics and macroeconomic trends.
- Utilize programming capabilities to optimize risk models, refine stress-testing frameworks, and automate daily reporting pipelines.
- Design and maintain interactive Power BI dashboards to present key risk metrics, portfolio concentrations, and anomaly detections to risk managers and trading leads.
- Act as a key quantitative advisor, collaborating closely with risk management, trading desks, and commercial leads.
Qualifications - 3-5+ years of relevant experience in Market Risk, Quantitative Analytics, or Financial/Derivatives Risk Management.
- Hands-on proficiency in Python, SQL, SAS, Java, or similar tools for analytics and data modeling.
- Strong experience using Power BI (or similar BI tools) to present data insights.
- Bachelor’s degree in Quantitative Finance, Mathematics, Statistics, Computer Science, Economics, or a related field.