Quantitative Developer - Commodities Trading

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Our client, a leading international financial institution, is seeking an experienced Quantitative Analyst to join its office. This role requires a strong understanding of quantitative methodologies to develop and enhance analytics solutions that support commodity management decisions. You will collaborate closely with digital teams and business users to identify priorities and optimize workflows.

Duties Include:

• Collaborate with business teams to identify and prioritize areas where machine learning can improve decision-making.
• Design, develop, and implement end-to-end machine learning models, including regression, classification, text analysis, and time series forecasting.
• Collect, process, analyze, and visualize large structured and unstructured datasets from internal and external sources.
• Ensure the application of appropriate modeling techniques to generate reliable and actionable insights.
• Monitor model performance, continuously improving and expanding the model scope.
• Work alongside data engineers to build scalable and repeatable data pipelines, ensuring consistency and robustness in analytics applications.
• Establish best practices for integration projects and data-driven initiatives.

The preferred candidate should possess experience in writing clean, efficient production-level Python code and strong knowledge of DevOps practices (e.g., Git, Agile methodology) with additional knowledge in MLOps, model architecture design, and testing patterns) excellent communication and interpersonal skills and be able to interact at all levels of business efficiently.

If you are interested in this opportunity, please email your C.V. to contact@altussearch.ch or call Altus Search on +41 (0) 41 560 02 21 for a confidential discussion.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Information Technology

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