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School of Mining, College of Engineering, University of Tehran, Iran

Quantitative Analyxt

Résumé du poste

Ville De Paris
Data Analyst

Modèle de travail

Hybride
il y a 1 mois
Description du poste

Company Description

The School of Mining, established in 1935 as part of the College of Engineering at the University of Tehran, holds a distinguished legacy as one of the earliest engineering disciplines in Iran. With over 60 years of academic and research contributions, the school has cultivated a vast network of experienced engineers instrumental in driving the country's industrial and economic advancements. Its programs blend geology, mining engineering, mechanical engineering, civil engineering, and materials science courses. The School of Mining continues to play a key role in addressing the demand for skilled mineral exploration and extraction professionals in industrial and academic sectors.

Role Description

This full-time Quantitative Analyst role, based in Paris, offers a hybrid work environment combining in-office and remote work arrangements. As a Quantitative Analyst, your responsibilities will include conducting quantitative analysis, developing data-driven models, interpreting large datasets, and collaborating with cross-functional teams to provide actionable insights. You will contribute to research, academic projects, and innovative solutions for challenges in mining engineering and related fields, ensuring accurate quantitative conclusions to support decision-making.

Qualifications

  • Strong expertise in quantitative analysis, statistical modeling, and data interpretation
  • Advanced knowledge of data analytics, visualization tools, and relevant software
  • Proficiency in programming languages such as Python, R, or MATLAB
  • Solid foundation in numerical methods, mining engineering principles, and geological data evaluation
  • Strong problem-solving skills and ability to work collaboratively in a multidisciplinary environment
  • Masters or PhD in Mining Engineering, Data Science, or a related field
  • Exposure to industrial or academic research projects in mineral exploration and data analysis
  • Excellent written and verbal communication skills in English (French proficiency is a plus)