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Research Analyst – Commodities

Veritase

Dubai, United Arab Emirates · 정규직

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경험
1~3세
샐러리
채용 공고
1
게시됨
2시간 전
작업 모드
사무실에서
교육
학사 학위
재개하다
신청 시 필수 사항

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직무 설명

Overview

Veritase Trading LLC is looking for a full-time Commodities Research Analyst based in Dubai to enhance the trading and sales teams' market insight through comprehensive fundamental and quantitative analyses. This role involves developing and refining supply-demand models, examining market factors, forecasting prices, and delivering concise, actionable research that informs risk management, strategy, and investment choices.

Key Responsibilities

  • Gather, cleanse, and analyze data related to production, consumption, inventories, trade flows, and pricing for assigned commodity sectors.
  • Maintain and improve fundamental balance models, cost curves, and scenario analyses to support informed market perspectives.
  • Track macroeconomic factors, policy changes, weather phenomena, and geopolitical events to evaluate their influence on market dynamics.
  • Generate regular research reports including daily or weekly market updates, thematic studies, and presentations.
  • Provide traders and sales teams with ad-hoc analyses, visuals like chartbooks and dashboards, and briefing materials to assist client engagements.
  • Help develop short- and medium-term price forecasts and risk scenarios, emphasizing key influences, risks, and uncertainties.
  • Ensure research workflows are robust and reproducible by managing structured databases, spreadsheets, and code repositories.

Required Qualifications

  • Bachelor's degree in Economics, Finance, Engineering, Mathematics, Statistics, Data Science, or a related quantitative field.
  • Between one and three years of relevant experience in commodities research, macroeconomic or financial market analysis, risk management, or financial analytics; strong internships are also considered.
  • Demonstrated analytical skills and comfort with large datasets, particularly in Excel.
  • Familiarity with programming or analytical tools such as Python, R, or SQL is preferred but not mandatory.
  • Good understanding of economics and market dynamics; knowledge of futures and derivatives markets is an asset.

Skills and Competencies

  • Capability to convert intricate datasets into clear insights, graphical representations, and concise written summaries.
  • Meticulous attention to data quality and model upkeep.
  • Curious and commercially minded with keen interest in commodity markets and macroeconomic developments.
  • Effective communicator able to share analytical findings with traders, sales teams, and non-technical audiences.
  • Strong organizational skills with the ability to balance multiple tasks in a dynamic environment.

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