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Research Analyst – Commodities
Dubai, United Arab Emirates · પૂર્ણ સમય
અરજી કરનારા સૌ પ્રથમ બનો
- અનુભવ
- ૧-૩ વર્ષ
- પગાર
- —
- ઓપનિંગ્સ
- 1
- પોસ્ટ કર્યું
- 6 કલાક પેહલા
- કાર્ય મોડ
- ઓફિસમાં
- શિક્ષણ
- સ્નાતકની ડિગ્રી
- ફરી શરૂ કરો
- અરજી કરવી જરૂરી છે
તમે ક્યાં કામ કરશો
કામનું વર્ણન
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.