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Cobblestone Energy

Junior Market Analyst New Grad

Prop & Hedge Fund TradingConfirmed live in the last 24 hours
Full-timeDubai - United Arab Emirates

About the Job

Requirements

  • A bachelor's degree (or near completion) or master's degree in mathematics, physics, or a related quantitative discipline.
  • Exposure to at least one programming language, such as Python, C++, or Java.
  • Demonstrated proficiency using artificial intelligence tools to convert unstructured market signals, including news, PDFs, and web data, into structured, actionable insights.
  • Experience creating small automations or scripts that eliminate manual data entry or repetitive analysis tasks.
  • Understanding of basic concepts in data structures, algorithms, and computational thinking.
  • Fluency in English, both written and spoken.

Responsibilities

  • Support traders within the designated market team to develop and refine trading strategies.
  • Analyze market fundamentals, including supply, demand, pricing behavior, flows, and regulatory updates relevant to the market.
  • Build and maintain forecasting models to support short-term or long-term market views.
  • Prepare clear market summaries, dashboards, and presentations for internal stakeholders.
  • Monitor real-time news, fundamentals, and data to inform daily trading decisions.
  • Build and maintain personal artificial-intelligence-driven workflows to scrape, summarize, and structure large amounts of unstructured market news and reports.
  • Automate dashboard updates and report generation using Python scripting or low-code artificial intelligence tools.
  • Collaborate with trading, risk, and analytics teams to support commercial objectives.
  • Contribute to research on trading and hedging opportunities within the market.
  • Assist in creating analytical tools, dashboards, and market views in partnership with data scientists and technology teams.

Desired Qualifications

  • A proven track record of excellence, academically or professionally, in quantitative or analytical roles.
  • Experience working with time-series data, machine-learning libraries, or cloud-based data platforms.
  • Demonstrated ability to innovate and drive end-to-end solutions.

About the Company

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