Overview / Brief

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 18,000 people globally.

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.

We are looking for a skilled Junior Quantitative Developer for our Sugar Team. You will be responsible in supporting and enhancing our quantitative infrastructure. You will collaborate closely with the researchers and traders to bring models into production, and contribute to the AI strategy development.

Main Responsibilities:

• Develop and manage robust data ingestion pipelines for both structured and unstructured data
• Maintain, improve, and scale the existing infrastructure to support our quantitative models
• Integrate legacy models into a unified, modern infrastructure
• Contribute to the development and visualisation of model outputs, performance metrics, and data analytics
• Support the on-going AI and machine learning initiatives across the team
• Participate in the research and development of new trading strategies and signals
• Ensure code quality, documentation, and adherence to the best software engineering practices
• Collaborate with data scientists and researchers to ensure seamless integration of models into production

Experiences:

• At least 1-3 years of relevant experiences
• Experience with cloud services, distributed computing, and version control systems
• Experience in agricultural commodities trading or similar markets is a strong plus
• Experience in quantitative research and financial data is a strong plus
• Solid understanding of data engineering and pipeline design
• Strong analytical and statistical capabilities, with a proven track record in problem-solving
• Excellent communication skills
• Ability to work independently and in collaborative settings

Academics:

• Degree or Master's in Mathematics, Statistics, Financial Engineering, Econometrics, Computer Science or related field of study