Musket Corp. is looking to enhance its energy trade floor's performance, automate workflows, and gain deeper market insights by developing advanced AI-driven tools.
Requirements
- Proven experience in software development (front-end, back-end, or full-stack).
- Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.) and data processing libraries (Pandas, NumPy).
- Expertise in the following programming languages: Python, Java, C-Sharp, C++, JavaScript/TypeScript, SQL.
- Strong understanding of AI/ML model development, training, and deployment.
- Familiarity with cloud technologies (AWS, Azure, GCP) and modern DevOps practices.
- Ability to design and deliver scalable, secure, and high-performance applications in data-rich environments.
- Experience integrating data from market feeds, trade capture systems, or real-time analytics platforms
Responsibilities
- Develop, deploy, and maintain AI and machine learning applications that support refined products trading strategies, including market forecasting, arbitrage detection, and price correlation modeling.
- Integrate AI models into trading tools and dashboards to improve decision-making speed, market visibility, and risk assessment.
- Design scalable applications that leverage real-time and historical data to support position management, inventory optimization, and trade execution efficiency.
- Write clean, efficient, and scalable code across the full stack to build production-grade applications used by trading, analytics, and operations teams.
- Collaborate with analytics team to optimize data pipelines, integrate APIs, and enhance system performance.
- Implement solutions that interface with trading platforms, market data providers, and internal analytics environments.
- Prototype and test new approaches to automation, data visualization, and predictive modeling that deliver measurable trading value.
Other
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline required.
- Advanced degree (Master’s or PhD) in AI, Machine Learning, or Data Science preferred
- Exposure to energy trading, commodity markets, or financial systems.
- Strong curiosity about market dynamics, trading operations, and commercial problem-solving.
- Analytical mindset with high attention to detail and code quality.
