Louis Dreyfus Company
agricultural goods
ComplianceDataEngineer
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“Compliance Data Engineer at Louis Dreyfus Company. Skills: Python, SQL, Machine Learning, Artificial intelligence. Act as service provider. project manager”
What You'll Achieve.
enhance compliance; internal audit processes and controls; automate testing; improve risk detection; support continuous monitoring; track activities; present results to committees; reinforcing regulatory compliance
Industry & Context.
analytical capabilities; advanced analytics; analyze large and complex data sets; detect anomalies; reveal hidden correlations; Critical thinking; Details and solutions oriented; assess potential risks
What They're Looking For.
Must Have
Min. 3 years of work experience in big data analysis, scripting, data science, Coding knowledge and experience in multiple programming languages, Python, SQL, Experience using statistical computer languages, data visualization, Artificial intelligence, data engineering, data architecture, Ability to understand business processes, communicate with non-IT people, translate requirements into non-technical, lay terms, Excellent written & verbal communication skills, Excellent presentation skills, Rigorous, organized, Critical thinking, Flexible, capacity to handle multiple tasks simultaneously, Comfortable working in ambiguous and/or stressful situations, Details and solutions oriented, Ability to work with stakeholders to assess potential risks, Ability to work independently with limited supervision, Excellent written and oral communication skills in English
Nice to Have
Other languages would be considered as a plus, Machine Learning, Natural Language Processing (NLP), Project management skills, Temporal, Supervised Machine Learning, Generative AI, LangChain, Azure Functions, RAG
What You'll Do.
Act as service provider
Understand compliance
Translate business requirements
Analyze large and complex data sets
Test and validate results
Monitor key risks continuously
Provide guidance and support
Build reports and KPIs
Communicate and showcase achievements
Promote initiatives across group
Lead the development of Python-based controls
Support the design and building
Develop complex machine learning algorithms
Create and deploy AI agents
Supervise and mentor junior developers
Ensure script quality and consistency
Influence departmental strategy
How You'll Work.
Team & Collaboration
coordinating across teams; work with stakeholders; knowledge sharing
Communication Scope
Excellent written & verbal communication skills; Excellent presentation skills; communicate with non-IT people; communicate and showcase achievements; Excellent written and oral communication skills in English
Process & Methodology
project manager, Project management skills
Full Job 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. The Compliance Monitoring Department is looking for a data engineer based in Sofia, with strong analytical capabilities, coding proficiency and the ability to understand business processes & risks. In this role, you will design and develop data-driven solutions that enhance compliance and internal audit processes and controls, leveraging advanced analytics and programming skills, automate testing, improve risk detection, and support continuous monitoring. This is an opportunity to work on innovative projects using cutting-edge technologies such as Python, machine learning and AI frameworks, driving digital transformation and reinforcing regulatory compliance across the organization. Your role will mainly include the following: * Act as service provider and project manager for the Compliance and Internal Audit departments, delivering guidance assistance and on-going support * Understand compliance, audit and business processes, risks & control objectives * Translate business requirements into analytics solutions, identifying relevant data * Analyze large and complex data sets using advanced techniques (descriptive, predictive, prescriptive) to uncover patterns, detect anomalies, and reveal hidden correlations * Develop, schedule, and document code with a strong understanding of system databases and group methodologies & policies * Test and validate results with end users to ensure accuracy and usability * Monitor key risks continuously and maintain existing controls * Provide guidance and suppo
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