Enervest — an international energy trading company active in derivatives markets — is seeking an experienced and highly motivated Oil Analyst to join its oil trading team. The position can be based in Dubai (preferred), Geneva, or Singapore, with candidates open to relocation. This quantitative, trading-focused role develops tools and fundamental models to support crude oil and refined products trading decisions — requiring strong Python skills, a solid econometrics background, and professional experience in commodities, energy markets, and/or trading analytics. The ideal candidate combines market logic with coding discipline, moving from raw data to clean analytical outputs while maintaining rigorous standards for data quality and economic interpretation.
About Enervest — International Energy Trading & Derivatives Markets
Company: Enervest — an international energy trading company active in derivatives markets, operating at the intersection of quantitative analytics and real-world commodity price risk
Focus: Oil trading — crude oil and refined products, supply and demand balances, refinery economics, trade flows, inventories, pricing indicators, and arbitrage signal development
Team: A fast-paced, commercially driven trading environment where analysts work closely with traders — translating market questions into quantitative frameworks that support live trading decisions
Role: Developing quantitative tools, improving fundamental oil market models, and supporting supply and demand balance buildout across crude oil and refined products
Why This Experienced Oil Analyst Role Stands Out
Real Trading Environment: Work directly with active oil traders in a live derivatives trading environment — your models and analytical outputs directly support real commercial decisions, not academic exercises
Full Quantitative Scope: Supply/demand modelling, econometric forecasting, data pipeline development, arbitrage signal construction, and dashboard production — comprehensive oil market analytical ownership
Global Location Flexibility: Dubai, Geneva, or Singapore — three of the world’s most significant energy trading hubs — with genuine multi-location opportunity for the right candidate
0→1 Model Building: Build and own quantitative tools that are genuinely used in the trading decision process — contributing lasting technical infrastructure to Enervest’s oil trading capability
Position Overview
This Experienced Oil Analyst at Enervest in Dubai models fundamental oil market variables including supply, demand, refinery runs, inventories, trade flows, pricing indicators, and arbitrage signals — developing forecasting models using econometric and statistical techniques, collecting, cleaning, and structuring large datasets from public and proprietary sources, producing charts, dashboards, and reports to support market analysis and trading decisions, working closely with traders and analysts to translate market questions into quantitative frameworks, and developing quantitative tools that improve Enervest’s fundamental oil market understanding across crude oil and refined products supply and demand balances. The ideal candidate is quantitative, curious, autonomous, commercially minded, and comfortable working in a fast-paced trading team environment.
Why This Role Matters: As Oil Analyst at Enervest in Dubai, you build the analytical infrastructure that supports live derivatives trading decisions in one of the most complex and commercially consequential commodity markets in the world. When your supply/demand balance model correctly anticipates a tightening in global crude stocks three weeks before the market reprices, your arbitrage signal identifies a cross-market dislocation between WTI and Brent that the traders can act on before it closes, or your SARIMA forecast for refined product demand in a key trading region gives the team a directional view with genuine statistical backing — you are not producing research for its own sake. You are generating the analytical edge that a trading house depends on to make decisions that translate directly into commercial P&L. That is what oil market analysis looks like when it is done at the standard a live trading environment actually demands.
Key Responsibilities
Oil Market Fundamental Modelling & Supply/Demand Balance
- Model fundamental oil market variables across the full supply and demand stack — production, demand, refinery runs, crude and product inventories, trade flows, pricing indicators, and arbitrage signals — building the quantitative view of oil market balances that supports Enervest’s trading decisions
- Develop forecasting models using econometric and statistical techniques — applying OLS regression, ARIMA/SARIMA/SARIMAX, VAR, panel regression, and machine learning methods to produce statistically rigorous, commercially actionable oil market forecasts
- Support the buildout of supply and demand balances across crude oil and refined products — constructing and maintaining the balance frameworks that provide Enervest’s trading team with a structural view of market tightness, surplus, and directional price risk
- Develop arbitrage signals and pricing indicators — identifying and quantifying cross-market dislocations in crude benchmarks, refined product spreads, and freight-adjusted trade economics that represent actionable trading opportunities
Data Engineering, Pipeline Automation & Dataset Management
- Collect, clean, and structure large datasets from public and proprietary sources — applying Python data engineering skills to ingest raw oil market data from official energy agencies, pricing providers, port data, and proprietary sources into usable analytical datasets
- Build and maintain data pipelines using web scraping, APIs, scheduled tasks, and automation — creating reliable, reproducible data flows that keep fundamental models current without excessive manual data gathering
- Manage structured data using SQL and PostgreSQL — designing, maintaining, and querying relational databases that store and organise the heterogeneous oil market datasets underlying Enervest’s fundamental models
- Maintain version-controlled, well-documented analytical code using Git, Jupyter, and VS Code — ensuring quantitative work is reproducible, auditable, and maintainable as models and datasets evolve
Trading Support, Reporting & Cross-Team Collaboration
- Work closely with traders and analysts to translate market questions into quantitative frameworks — maintaining the commercial orientation and communication discipline needed to make analytical outputs genuinely useful to a fast-moving derivatives trading team
- Produce charts, dashboards, and reports that support market analysis and trading decisions — communicating complex quantitative findings clearly and concisely to a trading audience that requires actionable intelligence, not academic exposition
- Develop and improve quantitative tools that enhance Enervest’s fundamental oil market understanding — contributing lasting technical infrastructure that grows the organisation’s analytical edge over time
Skills, Qualifications & Experience
Essential Requirements
- Previous professional experience in oil, commodities, energy markets, or trading analytics — in a trading house, oil major, commodity company, or similar market-facing environment
- Fluency in Python — production-quality, well-structured Python applied to data analysis, econometric modelling, and quantitative tool development
- Strong background in econometrics — applied time series analysis, regression modelling, and the statistical rigour to build forecasting models that hold up to commercial scrutiny
- Ability to work with large, heterogeneous datasets — data cleaning, structuring, and quality assessment applied to diverse public and proprietary oil market data sources
- Familiarity with database management — preferably SQL — for structured data storage and querying in support of oil market fundamental models
- Ability to communicate technical results clearly and concisely — to a trading audience that needs commercial conclusions, not academic methodology exposition
Preferred Qualifications
- Experience with forecasting models — OLS, ARIMA/SARIMA/SARIMAX, VAR, panel regression, or machine learning methods applied to commodity market or energy data
- Knowledge of crude oil, refined products, refinery economics, inventories, trade flows, or supply/demand balance methodology
- Experience with web scraping, APIs, scheduled tasks, or data pipeline automation — building automated data flows for oil market data collection and processing
- Familiarity with PostgreSQL, SQLAlchemy, Git, Jupyter, or VS Code — standard quantitative analytics toolkit for trading environment work
- Previous experience within a trading house, oil major, commodity company, or similar market-facing environment — directly relevant to Enervest’s trading-first analytical culture
About Enervest — International Energy Trading
Enervest is an international energy trading company active in derivatives markets, operating at the frontier of quantitative oil market analysis and commercial commodity trading. For the Experienced Oil Analyst role in Dubai, Enervest is looking for a candidate who is genuinely quantitative, commercially motivated, and technically capable — someone who moves from raw data to clean model output with discipline and rigour, questions data quality and economic assumptions as a matter of professional habit, and produces analytical work that a live derivatives trading team can actually use. With offices in Dubai, Geneva, and Singapore, Enervest offers an exceptional environment for an oil market analyst who wants to combine deep quantitative technical work with direct commercial impact in one of the most intellectually demanding and commercially rewarding commodity markets in the world.
Career Excellence: Build supply/demand models, econometric forecasts, and arbitrage signals supporting live oil derivatives trading — Python, ARIMA, VAR, SQL at Enervest Dubai UAE.
Who Should Apply?
- Oil Market Fundamental Analysts — Trading Houses: With professional experience in crude oil or refined products supply/demand modelling, inventory analysis, trade flow forecasting, and arbitrage signal development in a trading or commercial energy environment
- Quantitative Energy Analysts — Python + Econometrics: With fluent Python, strong applied econometrics capability, and experience building ARIMA, VAR, or regression-based forecasting models applied to commodity or energy market data
- Commodity Data Engineers — Oil & Energy: With experience building data pipelines, web scraping energy data sources, managing SQL databases, and automating data collection workflows for oil market analytical applications
- Trading Analytics Professionals — Crude & Refined Products: Who combine market knowledge of crude benchmarks, refined product spreads, refinery economics, and pricing indicators with quantitative modelling capability — commercially minded and comfortable in a fast-paced derivatives trading environment
- Dubai / Geneva / Singapore-Based Energy Professionals — Open to Relocation: With professional oil market analytics experience and Python/econometrics depth — willing to base in Dubai (preferred), Geneva, or Singapore in an international energy trading company
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