Junior Quantitative Trader, Systematic Trading

Company Description

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.

Job Description

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.

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

Languages:

• English (Fluent)

Academics:

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

Additional Information

Additional Information for the job

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

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.

We offer

• A workplace culture that embraces diversity and inclusivity
• Regular events that foster team engagement
• Access to Training and Development
• Hybrid work arrangement offered (availability varies by role).
• Comprehensive insurance coverage and flexible benefits