Energy Market Risk Quant | Shape Trading Decisions

In Commodities US LLC; Denmark; Remote; DKK 673,000 - 897,000; Full time

Job summary

InCommodities Europe is seeking a Quantitative Risk Analyst to join our Risk team. You’ll work at the intersection of quantitative analysis and energy trading, providing insights alongside traders and building models to quantify market, liquidity, and credit risk.

You’ll analyze exposures, refine risk frameworks, and automate monitoring to support daily decisions. The role emphasizes autonomy, continued learning, and hands-on impact in a dynamic trading environment.

Qualifications

• 2–3 years of experience in risk management or a similar quantitative role, ideally within energy trading.
• Strong quantitative and analytical skills and 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.

Responsibilities

• Act as a dedicated risk partner to trading desks, providing quantitative insights and sparring 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, concentrations, and emerging risks.
• Conduct quantitative risk assessments of new markets, products, and trading strategies.
• Stay close to market developments and proactively engage with traders and stakeholders to improve risk setup.

Skills

Quantitative analysis

Python

AI tools

Market risk

English fluency

Tools

Python

Modeling tools

Job description

InCommodities Europe is seeking a Quantitative Risk Analyst to join our Risk team. You’ll work at the intersection of quantitative analysis and energy trading, providing insights alongside traders and building models to quantify market, liquidity, and credit risk.

You’ll analyze exposures, refine risk frameworks, and automate monitoring to support daily decisions. The role emphasizes autonomy, continued learning, and hands-on impact in a dynamic trading environment.