Employment type: Full-time & Permanent

Starting salary of USD 65,000 per annum + performance based bonus - 0% tax environment

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

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:

0–3 years of professional experience. Internships, research projects, academic work, or self-driven projects are fully valid
Bachelor’s degree (or near completion) or master’s degree in mathematics, Physics, or related quantitative disciplines. We are primarily interested in candidates with strong analytical depth and structural thinking, regardless of whether they come 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

The Hiring Process

Application Review
Online Assessments: Psychometric and logical reasoning tests
Case Study: Research-oriented project to showcase your analytical approach
Remote Interviews: Three rounds with members of our Analytics and Trading teams
Offer & Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Market Analyst

Important Note: This role is advertised globally; however, the job location is as specified in the job description.