Senior Quantitative Developer- Commodities

Senior Quantitative Developer – Commodities

A leading systematic investment firm is seeking a skilled Quantitative Developer to join its Commodities trading team. The firm leverages advanced data analytics, technology, and scientific research to drive decision-making across global markets. This role offers the opportunity to work at the intersection of quantitative research, data engineering, and cloud infrastructure in a collaborative, fast-paced environment.

Key Responsibilities

• Design, build, and maintain cloud-native systems for managing alternative datasets, generating risk and PnL reports, and supporting the research and trading lifecycle.
• Develop quantitative tools in close collaboration with researchers and engineers, including data pipelines for testing and integrating new data sources.
• Apply machine learning and statistical modeling techniques to solve problems in Agriculture, Metals, and Power markets.
• Monitor and improve existing research and trading infrastructure, identifying opportunities for performance, usability, and reliability enhancements.

Ideal Candidate Profile

• 5+ years of hands-on development experience in Python or another object-oriented programming language.
• Strong proficiency in Python’s data ecosystem, including libraries such as NumPy, Pandas, and Matplotlib.
• Experience working with cloud platforms (AWS preferred) and Infrastructure-as-Code tools.
• Solid understanding of relational databases and SQL.
• Proven track record building robust ETL pipelines, ideally using Airflow or a similar tool.
• Familiarity with best practices in software engineering: version control, testing, packaging, and code reviews.
• Quantitative problem-solving skills with an interest or background in financial markets; prior experience in Commodities is highly advantageous.
• Proactive and self-directed, with a collaborative mindset; mentoring experience is a plus.