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Commodity Analyst Jobs

Company

Goldman Lloyds

Address New York City Metropolitan Area, United States
Employment type FULL_TIME
Salary
Expires 2023-06-24
Posted at 1 year ago
Job Description

About the Role:


Client: Confidential Fund Manager - NYC

Project: Full-Time Permanent Position

Exp: Minimum 5 years production level experience in commodities markets.


As a Commodities Analyst, you will be at the forefront of commodities trading strategies, providing critical insights and analysis to inform our investment decisions. Your expertise in market research, data analysis, and risk assessment will play a vital role in uncovering profitable opportunities and managing risks in the ever-evolving commodities landscape. This is your chance to contribute to the success of a leading fund and be part of a team that shapes the future of the industry.


Responsibilities:


  • Monitor supply and demand dynamics, geopolitical events, and macroeconomic factors that impact commodities prices.
  • Generate insightful reports, presentations, and recommendations to guide investment decisions.
  • Collaborate with portfolio managers and traders to identify and execute profitable trading strategies.
  • Stay updated on industry news, emerging trends, and regulatory changes affecting the commodities markets.
  • Utilize sophisticated models and statistical tools to develop forecasts and projections for commodities pricing and trends.
  • Conduct comprehensive research and analysis on global commodities markets, including energy, metals, agriculture, and more.
  • Continuously refine and improve existing analytical frameworks and methodologies.


Qualifications:


  • Solid understanding of macroeconomics, supply and demand dynamics, and risk management principles.
  • Excellent analytical and problem-solving skills, with the ability to interpret complex data and draw meaningful conclusions.
  • Bachelor's or Master's degree in Finance, Economics, Mathematics, or a related field.
  • Strong knowledge of commodities markets, including futures, options, and derivatives.
  • Proficiency in data analysis tools, such as Python, R, or MATLAB, for statistical modeling and data visualization.
  • Strong communication skills, both written and verbal, with the ability to present complex concepts to diverse stakeholders.