Quantitative Developer - Commodities Trading

Altus Search Ltd; Thalwil; Vor Ort; EUR 80’000 - 120’000; Vollzeit

Zusammenfassung

A leading international financial institution is looking for a Quantitative Analyst in Zürich. This mid-senior level role focuses on developing analytics solutions, collaborating with business teams, and optimizing workflows through machine learning. Ideal candidates will have strong Python and DevOps experience, ensuring effective decision-making in commodity management.

Qualifikationen

• Experience in writing clean, efficient production-level Python code is crucial.
• Strong knowledge of DevOps practices (e.g., Git, Agile methodology).
• Excellent communication and interpersonal skills.

Aufgaben

• Collaborate with teams to identify areas for machine learning improvements.
• Design, develop, and implement machine learning models.
• Monitor model performance and improve analytics applications.

Kenntnisse

Machine Learning

Python

Data Analysis

Model Monitoring

Communication

Ausbildung

Degree in Finance or Information Technology

Tools

DevOps practices

Git

Jobbeschreibung

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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 [e-mail] or call Altus Search on [phone] 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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