Market Risk Specialist

Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 20,000 people globally.

The Market risk team at LDC is responsible for producing quantitative market risk metrics along with qualitative assessment of potential risks to the company portfolio due to changes in market conditions. You will work closely with traders, risk managers, and other stakeholders to provide analysis, report risk metrics, and develop insights into market movements.

Main Responsibilities:

• Independently run and validate daily Market Risk calculations, including VaR and key risk metrics, ensuring data integrity, model stability, and timely delivery.
• Perform first-level analysis of VaR movements, identifying key drivers (price, positions, volatility) and escalating material changes with clear explanations to Management or Platform Risk Managers.
• Conduct deep-dive analysis on market exposures, linking risk movements to market fundamentals (e.g., price trends, supply/demand changes, basis movements).
• Generate and distribute daily risk reports to senior management, summarizing risk exposures, key metrics (e.g., Value at Risk (VaR), Margin Call Exposure), and historical trend analyses.
• Act as a key point of contact for various stakeholders, providing timely insights, challenging assumptions where appropriate, and supporting risk-informed decision-making.
• Continuously enhance and streamline risk reporting, improving transparency, consistency, and relevance to business decisions.
• Support and drive enhancements to risk tools, dashboards, and reporting frameworks, improving usability, efficiency, and data visibility across platforms.
• Contribute to enhancements in risk models and methologies (e.g. VaR assumptions, stress testing approaches)
• Explore and apply AI and data analytics tools to improve risk monitoring, anomaly detection, and reporting efficiency.

Experiences:

• Prior experience in financial analysis or related roles is preferred, with exposure to physical and/or derivatives markets considered an advantage. Familiarity with commodities trading and market risk is a plus.
• Familiarity with market risk concepts and metrics, such as Value at Risk (VaR), stress testing, and exposure analysis, with the ability to interpret and explain risk movements.
• Exposure to risk systems, data analysis tools, or reporting platforms (e.g.,Python, Power BI, or similar) to support risk monitoring and reporting processes.
• Experienced in designing data modelling/analytics.
• Exposure to process improvement, automation, or data-driven initiatives (including use of analytics tools or AI-assisted workflows) to enhance risk reporting and monitoring efficiency.
• Minimum 5 years of relevant experience; strong programming skills are highly valued.

Other skills (Computer Skills, etc):

• Strong understanding of statistical and financial risk models, including practical application in risk measurement (e.g.VaR, stress testing, scenario analysis) and interpretation of outputs in a business context.
• Strong Programming skills in data analysis and automation tools such as Python, SAS, Java, HTML or similar, with the ability to analyze large datasets, improve workflows, and support automation initiatives.
• Experience in data visualization and reporting tools (e.g., Power BI), with the ability to build interactive dashboards and translate complex risk metrics into clear insights.
• Ability to communicate with both technical and non-technical stakeholders.
• Ability to detect discrepancies in data and systems, ensuring the reliability of risk assessments.
• Exposure to advanced analytics or AI-assisted tools to enhance risk monitoring, anomaly detection, or reporting workflows.

Languages:

• English (Fluent)

Academics:

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics and Finance or a related field.

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards

Diversity is part of our DNA. LDC strives to create a diverse and inclusive work environment where people can thrive regardless of gender, sexuality, ethnicity or background.

Sustainability

Sustainable value is at the heart of our purpose as a company

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us.

Additional Information for the job

What We Offer

We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world.

Our Benefits

• Competitive salary and benefits
• Hybrid work available (not applicable to all roles)
• Pension contributions
• Access to Training and Development
• Access to Concierge Partnerships

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion.

LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply.

Sustainability

Sustainable value is at the heart of our purpose as a company.

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us