Qureos Mentor

Cobblestone Energy

<div>Employment Type: Full-time &amp; Permanent

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)

Salary: Competitive salary DOE + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme

Annual Leave: 30 Calendar Days

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

Working Days: Monday &ndash; Friday

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

Health Insurance: Comprehensive Private Health Insurance (IPD, OPD &amp; Dental)

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
<ul>
<li>Excellence in Hiring &amp; Teamwork</li>
<li>Lifelong Learning Through Continuous Reflection</li>
<li>Independent Thinking Through a Meritocracy of Ideas</li>
<li>Winning</li></ul> 
 
The Role

We are hiring a highly commercial Senior Power Market Analyst to own a European power market stack for our Forward Power desk. You will connect short term market dynamics across the day ahead all the way out to Y +3. 

What we offer in this role
<ul>
<li>Competitive remuneration, with fast progression for strong performers.</li>
<li>A challenging but exciting, open, and fun work environment.</li>
<li>An opportunity to work with remarkably talented colleagues.</li>
<li>Vast growth potential in every aspect.</li>
<li>Performance based bonus.</li>
<li>Employee share scheme participation</li>
<li>International relocation support</li>
<li>Opportunity to be embedded within a commercial team for those with strong commercial interest</li></ul> 
 
Key responsibilities
<ul>
<li>Own the end-to-end stack</li>
<li>Build and maintain canonical data models for European power markets</li>
<li>Convert data into explicit drivers of spreads and implied flows</li>
<li>Develop feature layers linking fundamentals</li>
<li>Translate trading questions into durable analytics, monitoring, and research inputs</li>
<li>Partner with engineering to ensure reliability and performance of the stack</li></ul> 
 
Requirements
<ul>
<li>Strong understanding of European power markets and how short-term regimes influence the forward curve</li>
<li>Strong Python and SQL skills and comfort building reproducible pipelines in a cloud environment</li>
<li>Strong analytical judgement, data quality discipline, and ability to work with revised data releases</li>
<li>Commercial mindset, able to explain drivers clearly and turn analysis into trade conviction</li>
<li>Ownership mindset suited to a fast-paced trading environment</li></ul> 


Learn more about Cobblestone Energy careers: 
https://cobblestoneenergy.com/careers/

Why work with us: 
https://cobblestoneenergy.com/why-work-with-us/

Recruitment process: 
https://cobblestoneenergy.com/careers/vacancies/#process</div>

Power Market Analyst - Dubai, UAE

<div>Employment Type: Full-time &amp; Permanent.

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

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


Employee Share Scheme: Opportunity to join Cobblestone Employee Share Scheme.

Annual Leave: 30 Calendar Days.

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

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

Health Insurance: Comprehensive Private Health Insurance (IPD, OPD &amp; Dental).

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
<ul>
<li>Excellence in Hiring &amp; Teamwork</li>
<li>Lifelong Learning Through Continuous Reflection</li>
<li>Independent Thinking Through a Meritocracy of Ideas</li>
<li>Winning</li></ul> 
 
What we offer in this role
<ul>
<li>A full-time position on our Commercial team</li>
<li>Committed and remarkably talented colleagues.</li>
<li>Highly competitive compensation dependent on performance</li>
<li>An exciting, challenging and fulfilling career.</li>
<li>Investment in your development to ensure that you always remain the best in business.</li>
<li>Equity participation for strong contributors, ensuring our interests are all aligned long term.</li></ul> 
 
Key Responsibilities:
<ul>
<li>Data Preparation: Collect, clean, and structure large datasets from market, fundamental, and operational sources</li>
<li>Forecasting &amp; Modeling: Develop and validate predictive models (e.g. wind generation, demand) to support trading strategies</li>
<li>Strategy Research: Prototype, back-test, and refine data-driven trading ideas; collaborate with analytics and development teams to productionise solutions</li>
<li>Infrastructure: Build and maintain data pipelines, dashboards, and automated tooling to streamline workflows</li>
<li>AI-Accelerated Workflows: Utilise LLMs and agentic frameworks to accelerate exploratory data analysis (EDA), automate data cleaning pipelines, and generate synthetic data for model robustification.</li>
<li>Stay current with the rapidly evolving AI landscape (e.g., RAG, Agents, Multimodal models) and proactively propose new ways to apply these to trading data.</li>
<li>Collaboration: Partner with traders, risk managers, and software engineers to integrate insights into real-time decision-making</li>
<li>Documentation: Maintain clear records of methodologies, data definitions, and model specifications</li>
<li>Culture: Champion our values through proactive communication and teamwork</li></ul> 
 
Your background:
<ul>
<li>Bachelor's or master's degree in Computer Science, Mathematics, Statistics, or a related field</li>
<li>Strong proficiency in programming languages such as Python and R</li>
<li>Experience with data analysis and manipulation tools such as Pandas, NumPy, and SQL</li>
<li>Knowledge of data visualization tools such as Matplotlib and Seaborn</li>
<li>Experience programmatically integrating LLMs (via APIs, LangChain, or Python scripts) into data pipelines rather than just using chat interfaces.</li>
<li>Proven ability to build custom &quot;Agents&quot; or automated workflows that interpret unstructured data or reason through multi-step problems.</li>
<li>Pro-active and flexible work mentality</li>
<li>Interest in data-driven trading</li>
<li>Fluency in English, both written and spoken.</li></ul> 
 
Preferred Background:
<ul>
<li>Proven track record of excellence, academic or professional, in quantitative or analytical roles</li>
<li>Experience working with time-series data, machine learning libraries, or cloud-based data platforms</li>
<li>Demonstrated ability to innovate and drive end-to-end solutions</li></ul> 
 
The Hiring Process
<div>
<ul><li>Application Review</li></ul>
<ul><li>Online Assessments: Psychometric and logical reasoning tests</li></ul>
<ul><li>Case Study: Research-oriented project to showcase your analytical approach</li></ul>
<ul><li>Remote Interviews: Three rounds with members of our Analytics and Trading teams</li></ul>
<ul><li>Offer &amp; Onboarding: Join our Commercial Development Program, then step directly into your role as Junior Data Scientist</li></ul></div> 


Learn more about Cobblestone Energy careers: 
https://cobblestoneenergy.com/careers/

Why work with us: 
https://cobblestoneenergy.com/why-work-with-us/

Recruitment process: 
https://cobblestoneenergy.com/careers/vacancies/#process</div>

Commercial Graduate Scheme, Junior Data Scientist - Dubai, UAE

<div>Employment Type: Full-time &amp; Permanent

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)

Annual Base Salary: range of $80,000 - $110,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme

Annual Leave: 30 Calendar Days

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

Working Days: Monday &ndash; Friday

Probation Period: 3 to 6 Months (As per UAE Labour Law)

Health Insurance: Comprehensive Private Health Insurance (IPD, OPD &amp; Dental)

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
<ul>
<li>Excellence in Hiring &amp; Teamwork</li>
<li>Lifelong Learning Through Continuous Reflection</li>
<li>Independent Thinking Through a Meritocracy of Ideas</li>
<li>Winning</li></ul> 
 
Role Description:

We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics, predictive modelling, and the strategic implementation of Generative AI/LLM technologies. 

What we offer in this role
<ul>
<li>A full-time, high-impact position within our dynamic Commercial team.</li>
<li>A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what's possible.</li>
<li>A career that challenges you to solve complex problems and rewards your drive for continuous innovation.</li>
<li>A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes.</li>
<li>The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment.</li>
<li>Equity participation, ensuring long-term alignment</li></ul> 
 
Key Responsibilities:
<ul>
<li>Analyse large, complex datasets to generate actionable insights that inform trading and commercial decisions.</li>
<li>Develop, deploy, and maintain predictive models to support market forecasting and trading strategy optimisation (e.g., time-series models, regression, tree-based methods).</li>
<li>Architect and implement production-ready AI/LLM solutions, such as Retrieval-Augmented Generation (RAG) pipelines or task-specific agents, integrated programmatically into analytical workflows (e.g., via APIs, LangChain, LlamaIndex).</li>
<li>Build, automate, and own end-to-end data workflows covering data ingestion, cleaning, feature generation, and model training, leveraging tools such as Python, SQL, Airflow, pandas, and workflow orchestration platforms (e.g., n8n or similar).</li>
<li>Apply advanced data science techniques, including synthetic data generation where appropriate, to improve model robustness, scalability, and operational efficiency.</li>
<li>Collaborate closely with traders and cross-functional stakeholders to translate business problems into high-quality, data-driven solutions.</li>
<li>Communicate insights and model outputs clearly and concisely, ensuring analytical work drives measurable trading and commercial impact.</li></ul> 
 
Requirements:
<ul>
<li>2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results.</li>
<li>Strong academic background in computer science, mathematics, statistics, or a related field</li>
<li>Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges.</li>
<li>Expertise in Python programming, with an ability to apply it to advanced data science problems.</li>
<li>Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications.</li>
<li>Automation Focus: Proven ability to design and implement automated, end-to-end data workflows that leverage AI for efficiency gains.</li>
<li>Knowledge of machine learning algorithms and data visualization tools</li>
<li>Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments</li>
</ul>
This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply.

Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly. 


Learn more about Cobblestone Energy careers: 
https://cobblestoneenergy.com/careers/

Why work with us: 
https://cobblestoneenergy.com/why-work-with-us/

Recruitment process: 
https://cobblestoneenergy.com/careers/vacancies/#process</div>

Data Scientist - Dubai, UAE

Join Cobblestone Energy and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Cobblestone Energy

About Company

Power Market Analyst - Dubai, UAE

Commercial Graduate Scheme, Junior Data Scientist - Dubai, UAE

Data Scientist - Dubai, UAE