Senior Python Data Scientist

Compare your skills with our requirements

As a Senior Python Data Scientist in the Risk Technology Department, you will play a pivotal role in enhancing risk management capabilities for a global leader in commodity trading. By leveraging Python, advanced analytics, and your expertise in risk modeling, you’ll develop cutting-edge tools to analyze and manage risks, driving strategic decision-making in a dynamic trading environment.

Must-have

• Advanced Python skills, including Pandas, NumPy, and Scikit-learn.
• Proficiency in SQL for handling and querying large datasets.
• 5+ years of experience in data science, analytics, or quantitative roles.
• Strong understanding of risk management tools and frameworks.
• Bachelor’s degree in Mathematics, Computer Science, Statistics, Finance, or related field.
• Problem-solving skills with a commercial mindset.
• Excellent communication skills to convey complex concepts clearly.
• Proactive and collaborative work approach.

Is a plus

• Familiarity with big data technologies.
• Advanced degree (Master’s or PhD) in a quantitative field.
• Experience in real-time risk systems or large-scale reporting tools.
• Background in commodity trading or financial markets.

What you will do

• Develop Python-based models to analyze profit and loss drivers.
• Build tools for assessing linear and nonlinear commodity risks, FX, and interest rate exposures.
• Deliver interactive and scalable risk reports aligned with business strategies.
• Automate and enhance risk reporting processes using Python and SQL.
• Design and maintain robust data pipelines and analytical tools.
• Collaborate with stakeholders to align technology solutions with business needs.
• Mentor junior team members and foster innovation within the team.