Musket Corp’s energy trade floor is looking to develop and deploy advanced AI and machine learning solutions to directly enhance trading performance, market analysis, and operational efficiency in refined products.
Requirements
- Proven experience applying AI and machine learning techniques to solve real-world commercial or financial problems.
- Proficiency in Python and experience with core ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Working knowledge of SQL and programming languages such as Java, C-Sharp, or C++.
- Experience integrating data from market feeds, trade capture systems, or time-series databases.
- Expertise in machine learning model development, optimization, and deployment.
- Strong command of Python and data analysis libraries (NumPy, Pandas, SciPy).
- Experience with big data platforms and cloud-based environments (AWS, Azure, Snowflake).
Responsibilities
- Build and deploy machine learning models that support refined product trading decisions, such as price forecasting, flow prediction, arbitrage detection, and margin optimization.
- Mine, clean, and analyze large datasets from diverse trading sources—market data feeds, vessel tracking, logistics, and inventory systems—to identify actionable patterns and insights.
- Apply advanced statistical and AI methods (supervised/unsupervised learning, NLP, computer vision) to improve market understanding and risk management.
- Write clean, efficient, and production-ready code for model deployment, data pipelines, and algorithmic trading tools.
- Design and implement scalable data science frameworks that integrate with trading systems, databases, and visualization platforms.
- Continuously monitor, evaluate, and refine model performance to ensure reliability and alignment with changing market conditions.
- Stay ahead of emerging AI trends, open-source tools, and advanced analytics techniques relevant to commodities and financial trading.
Other
- Bachelor’s degree in Computer Science, Data Science, Engineering, Applied Mathematics, or a related quantitative field required.
- Graduate degree (Master’s or PhD) in AI, Machine Learning, or a related technical discipline preferred
- Deep curiosity about energy markets and the global refined product value chain.
- Ability to translate analytical findings into commercial insights that inform trading strategies.
- Collaborative, proactive, and results-oriented with excellent communication skills.
