Product Specialist, Trading Copilot - Toa Payoh - ref. f00928703

Overview / Brief

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.

This role will act as a key point of contact to provide users with hands-on training, collect valuable feedback, ensuring that every user fully benefits from the LDC Trading Copilot Product’s evolving capabilities. You will help the users to realize the value, thrive on building strong relationships, and enjoy translating complex features into accessible solutions.

Main Responsibilities:

1. User Engagement and Support:

• Act as the key point of contact to coordinate and engage key Trading Copilot users, deliver hands-on assistance, and address queries in a timely manner
• Facilitate effective on-boarding for the new users by developing and delivering targeted training sessions and user guides

1. Adoption, Retention, and Reporting:

• Drive users’ adoption and retention initiatives, to ensure that both new and existing users realize the full potential value of LDC Trading Copilot’s features and capabilities
• Prepare, analyze, and maintain the reporting for key product KPIs, to support data-driven decision-making and transparency for the internal stakeholders

1. Collaboration and Continuous Improvement:

• Collaborate closely and communicate effectively with the Product Manager and cross-functional teams to support feature planning, testing, and roll-out activities
• Promote a culture of customer-centricity and continuous improvement within the Trading Copilot Team

Experiences:

• At least 3-5 years of relevant working experiences in agribusiness/commodity/feed/food/etc industry
• Genuine interest in commodity trading industry
• Strong background in user on-boarding, user facing, product specialist (Digital/Technology), business analyst, or client services
• Proven experience in driving user adoption, delivering training, and/or providing expert support for complex digital tools/platforms
• Experience in collecting users’ feedback, supporting users through process/technology transitions, and relaying actionable insights to the product/development teams
• Experience in change management initiatives and facilitating new solutions’ adoption
• Experience in working with teams in different geographical locations
• Ability to manage users’ feedback and summarize users’ feedback into key/actionable insights
• Ability to analyze trends, data, and numbers to draw meaningful conclusions and write comprehensive reports
• Ability to communicate with both technical and non-technical stakeholders
• Ability to present complex technical concepts in an accessible manner to stakeholders at all levels
• Strong analytical skills with a keen eye for details
• Good business acumen and commercial awareness
• Ability to understand the business needs, potential issues, and propose innovative ideas/solutions
• Strong verbal and written communication skills, ability and willingness to interact effectively with all levels of employees & management
• Ability to handle/prioritize multiple responsibilities
• Ability to work in a fast-paced environment
• Independent self-starter who takes initiative, and has a proactive attitude toward problems and issues

Technical Skills:

• Proficiency in Python and Power BI
• Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)
• Experience in working with large, complex datasets
• Strong statistical and analytical skills, with a solid understanding of data management best practices
• Good Business Intelligence awareness

Academics:

• Degree in Computer Science/Data Science/Econometrics/Engineering/Mathematics/Statistics or related field of study