Quantitative Risk Analyst: Front-Office Trading Partner

In Commodities US LLC; Aarhus; In loco; DKK 600.000 - 900.000; Tempo pieno

Descrizione del lavoro

InCommodities, Aarhus-based, is seeking a Quantitative Risk Analyst to join the Risk team and connect quantitative analysis with energy trading decisions. You’ll work closely with traders, develop models, and turn market data into actionable risk insights.

You’ll develop and maintain risk models, monitor exposures, and communicate complex concepts clearly. 2–3 years of experience in risk or a similar role and fluency in English are essential.

Competenze

• 2–3 years of experience in Risk Management or a similar quantitative role, ideally within energy trading.
• Strong quantitative and analytical skills with the ability to turn complex data into actionable insights.
• Proficiency in Python and experience developing analytical tools or quantitative models.
• Experience using AI tools to improve analytical workflows and automate processes.
• Solid understanding of market risk, trading exposures, and risk methodologies.
• Fluency in English, written and spoken.

Mansioni

• Act as a dedicated risk partner to trading desks, providing quantitative insights and collaborating with traders on day-to-day decisions.
• Develop, maintain, and improve quantitative models and analytical tools for measuring market, liquidity, and credit risk.
• Analyze trading positions and exposures to identify key risk drivers and emerging risks.
• Conduct quantitative risk assessments of new markets, products, and strategies.
• Stay close to market developments and engage with traders to continuously improve risk setup.

Conoscenze

Python

AI tools

Market risk

Energy trading

Descrizione del lavoro

InCommodities, Aarhus-based, is seeking a Quantitative Risk Analyst to join the Risk team and connect quantitative analysis with energy trading decisions. You’ll work closely with traders, develop models, and turn market data into actionable risk insights.

You’ll develop and maintain risk models, monitor exposures, and communicate complex concepts clearly. 2–3 years of experience in risk or a similar role and fluency in English are essential.