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.
As part of the Systematic Trading team, you will initially focus on ensuring the smooth market execution of our trading signals. As the role progresses, you will take on greater responsibility in the development of innovative trading strategies, leveraging AI and other advanced technologies. You will collaborate closely with the team's quantitative researchers, applying your expertise to execute, monitor and optimize the performance of trading strategies. Additionally, you will play a key role in integrating AI into our systematic trading book.
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.
Main Responsibilities:
- Responsible for the execution and monitoring of quantitative trading strategies in the Asia and Europe time zones, ensuring timely and accurate signal processing.
- Collaborate with the Middle Office to validate trade reconciliation and ensure accurate PnL computation.
- Contribute to the reporting of strategy performance, helping to communicate results to the wider team.
- Participate in the analysis of market data to identify patterns and trends, contributing to the refinement of trading strategies.
- Stay current with trends in quantitative finance, data science, and AI to help improve and innovate trading systems.
- Assist in backtesting strategies to validate performance and identify areas for improvement.
Experiences:
- At least 1-3 years of relevant experiences
- Experience in agricultural commodities trading or similar markets is a strong plus
- Passionate about financial markets and systematic trading
- Genuine interest in commodity trading industry
- Strong analytical and statistical capabilities, with a proven track record in problem-solving
- Excellent communication skills
- Ability to work independently and in collaborative settings
Technical Skills:
- Proficiency in Python
- Experience in implementing machine learning techniques are a strong plus
Academics:
- Degree or Master’s in Mathematics, Statistics, Financial Engineering, Econometrics, Computer Science or related field of study
