Commodities Index Senior Developer

Key Responsibilities

• System Development:
• Design, build, test, and deploy robust and scalable software for the calculation, publication, and analysis of commodity indices.
• Methodology Implementation :
• Collaborate with quantitative analysts to translate complex index rules and methodologies (including weighting, rebalancing, and corporate actions) into high-quality, production-ready code.
• Data Integration & Management :
• Develop and maintain data pipelines to source, validate, and process commodity price data from various vendors and exchanges (e.g., Bloomberg, Refinitiv, CME, ICE).
• Back-testing & Analytics :
• Create and enhance tools for the historical back-testing of index strategies, performance attribution, and risk analysis.
• Performance Optimization :
• Profile and optimize the index calculation engine and data processing workflows to ensure low latency and high throughput.
• Production Support :
• Provide ongoing support for the index platform, troubleshoot production issues, and ensure the accuracy and timeliness of all index calculations and data distributions.
• Documentation :
• Maintain comprehensive documentation for the index methodologies, system architecture, and operational procedures.
• Stakeholder Collaboration:
• Work effectively with cross-functional teams, including research, trading, operations, and technology infrastructure.

Required Qualifications

• Education :
• Bachelor’s or master’s degree in computer science, Engineering, Mathematics, Physics, or a related quantitative field.
• Programming Proficiency:
• 3+ years of strong, hands-on development experience in an object-oriented language such as Python, C++, or Java.
• Data & Algorithms :
• Solid foundation in data structures, algorithms, and software design principles.
• Database Skills:
• Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, SQL Server).
• Financial Acumen :
• A strong interest in financial markets and a foundational understanding of financial instruments.
• Problem-Solving :
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Communication:
• Strong verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Preferred Qualifications

• Domain Expertise: Prior experience working directly with commodities (Energy, Metals, Agriculture), financial indices, futures, and/or other derivatives.
• Quantitative Libraries: Hands-on experience with numerical and data analysis libraries in Python (e.g., Pandas ).
• Cloud & DevOps: Familiarity with cloud computing platforms and CI/CD practices.
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