Company:

Intelletec is partnered with a private commodity trading firm specializing in physical trading and supply chain management of various commodities. The ideal candidate should have a good understanding of markets and data science, technical proficiency in Python, and experience with machine algorithms.

Responsibilities:

• Develop, test, and deploy predictive models for commodity price forecasting and trading signals using data science techniques.
• Collaborate with cross-functional teams to improve trading strategies, optimize operations, and enhance risk management processes.
• Build and maintain automated data pipelines to extract, transform, and load data from various sources for analysis and modeling.
• Conduct exploratory data analysis and visualization to identify patterns, trends, and anomalies in complex and diverse datasets.
• Conduct research and analysis to support decision-making and provide actionable insights for traders and management.
• Communicate technical results to non-technical stakeholders and make recommendations based on the findings.
• Contribute to the development and implementation of best practices in data science, machine learning, and artificial intelligence.

Qualifications:

• Solid understanding of commodity markets and data science.

• Strong technical skills in Python and experience with machine learning algorithms.

• Strong data management skills, including experience with SQL and data processing pipelines.

• Familiarity with data visualization tools such as Tableau, PowerBI, or Matplotlib.

• Excellent problem-solving skills, critical thinking, and attention to detail.

• Experience working in a trading environment or a similar fast-paced, dynamic industry is preferred.

Education and Experience:

Bachelor's or Master's degree in a relevant field such as Computer Science, Mathematics, Statistics, or Economics.

At least 3 years of experience in data science or a related field, with a track record of delivering impactful solutions.

Experience in commodity trading or energy markets is a plus.

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