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Commercial Graduate Scheme, Junior Market Analyst UAE

Job in Dubai, UAE/Dubai
Listing for: Cobblestone Energy
Full Time, Seasonal/Temporary position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 214836 - 262578 AED Yearly AED 214836.00 262578.00 YEAR
Job Description & How to Apply Below

Commercial Graduate Scheme, Junior Market Analyst - Dubai, UAE

Employment Type: Full-time & Permanent

Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance)

Salary: USD 65,000 per annum + performance-based bonus (0% tax environment)

Employee Share Scheme: Opportunity to join Cobblestone Employee Share Scheme

Public Holidays: As declared by UAE Government annually (8 to 14 days)

Probation Period: 3 to 6 months (as per UAE Labour Law)

Residency Visa Sponsorship: Provided by the Company

Relocation Support: Available for candidates relocating to Dubai

End of Service Gratuity: As per UAE Labour Law

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence.

Cobblestone

Values
  • Excellence in Hiring & Teamwork
  • Lifelong Learning Through Continuous Reflection
  • Independent Thinking Through a Meritocracy of Ideas
  • Winning
What we offer in this role
  • A full-time position on our Commercial team
  • Committed and remarkably talented colleagues
  • Highly competitive compensation dependent on performance
  • An exciting, challenging and fulfilling career
  • Investment in your development to ensure that you always remain the best in business
  • Equity participation for strong contributors, ensuring our interests are all aligned long term
Key Responsibilities
  • Support traders within your designated market team to develop and refine trading strategies
  • Analyse market fundamentals including supply, demand, pricing behaviour, flows and regulatory updates relevant to your 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 AI-driven workflows to scrape, summarise, and structure vast amounts of unstructured market news and reports
  • Innovate on traditional reporting by automating dashboard updates and report generation using Python scripting or low-code AI tools
  • Collaborate with trading, risk and analytics teams to support commercial objectives
  • Contribute to research on trading and hedging opportunities within your market
  • Assist in creating analytical tools, dashboards and market views in partnership with data scientists and technology teams
Your background
  • Bachelor’s degree (or near completion) or master’s degree in mathematics, physics, or related quantitative disciplines. Strong analytical depth and structural thinking are preferred, regardless of whether coming from a purely technical or theoretical background
  • Exposure to at least one programming language (e.g., Python, C++, Java, or similar)
  • Demonstrated proficiency in using AI tools to convert unstructured market signals (news, PDFs, web data) into structured, actionable insights
  • A "builder" mindset:
    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
  • Personal values aligned with Cobblestone’s culture and long-term vision
  • Strong sense of ownership and responsibility
  • Desire to grow within a high-performance, intellectually demanding environment
  • Fluency in English, both written and spoken
Preferred Background
  • Proven track record of excellence, academic or professional, 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
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