Key Responsibilities:
Development and maintenance of advanced analytics methods and applications for Crude and Products teams.
Contribute to the automation of trading desk processes.
Acquire a deep understanding of technical projects on the trading desk to better serve commercial needs.
Collaborate and communicate optimally with team members across different business lines and technology.
Write clean and efficient code in Python
Participate in crafting data pipelines with an understanding of statistics or ML concepts
Qualifications:
Bachelorβs degree or equivalent experience in engineering, computer science or related field.
3+ years of professional experience in data science and software development (or demonstrably strong GitHub portfolio)
Proficiency in Python and strong coding fundamentals
Understanding of data warehousing or ETL processes
Proven hands-on experience with AWS cloud infrastructure
Familiarity with DevOps practices (CI/CD, Infrastructure as Code, Docker, etc.)
Comfortable working with Git and SQL in production environments
Statistical thinking and exposure to ML libraries (like scikit-learn, pandas, or TensorFlow)
Contributions to open-source or personal projects involving ML/stats is a bonus
Experience in a trading environment is highly desirable.
Competencies:
Strong learning curve
Strong problem-solving skills and a collaborative attitude
Ability to communicate effectively with a diverse set of stakeholders
Ability to solve problems under pressure
Ability to optimally prioritise tasks of high importance
Department Overview
The Data Science and Engineering team at Trafigura conducts research, develops sophisticated analytics solutions, and delivers data services to support the trading business and various commercial operations.
Trafigura's teams handle both physical and derivative portfolios, relying heavily on data, analysis, and process automation.
Day-to-day management will be provided by Traders and Analysts, while the Data Science and Engineering team offers technical mentorship and supplementary engineering and analytics support as needed.
Equal Opportunity Employer
We are an Equal Opportunity Employer and take pride in a diverse workforce! We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.