About Studio.Energy Studio Energy is building a modern data and analytics platform for the Canadian energy sector. Our stack includes a 700+ table data warehouse ingesting from 25+ sources (AER, CER, Bloomberg, EIA, Bank of Canada, StatsCan, SEC EDGAR, and more), a financial forecasting engine (CapFlow), and a self-service portal where non-technical users can run scenario-based models without writing code. We're a small team, and you'll have outsized impact. The RoleYou'll evolve the quantitative models that power CapFlow, our flagship forecasting engine for Canadian oil and gas producer economics. CapFlow projects taxes, royalties, operating costs, capex, debt, carbon compliance costs, and cash flow across every Canadian province and fuel type. The models feed directly into client-facing dashboards and scenario analysis tools. Day-to-day, you'll work across the full modelling lifecycle: sourcing data, building regressions, designing forecasting methodologies, running scenario analysis, and interpreting results for stakeholders.What Youll DoBuild and maintain financial models: models for OPEX, CAPEX, royalties, taxes, and debt; waterfall cash flow calculations; production forecasting via decline curves. Extend the modelling framework with new methodologies and validate outputs against actuals. Design scenario analysis: calibrate commodity price paths, production profiles, regulatory changes, and carbon pricing trajectories for user stress-testing. Work with energy data: source, clean, and validate production volumes, commodity benchmarks, exchange rates, carbon prices, emissions data, and company financials. Contribute to the data warehouse: write Airflow DAGs to ingest new data sources, build trusted and curated layer transformations, and maintain data quality. Communicate results: translate model outputs into clear insights for clients, advisors, and non-technical stakeholders; document assumptions and methodology.Leverage AI tools to accelerate research, code development, data exploration, and documentation.RequirementsQuantitative & Analytical Skills:Degree in engineering, economics, finance, mathematics, statistics, or a related quantitative field.Strong foundation in regression analysis, time series methods, and statistical diagnostics.Experience with data transformations and translating real-world relationships into validated mathematical models.Energy Domain Knowledge: Understanding of upstream oil and gas economics: production profiles, decline curves, capital intensity, operating cost structures.Familiarity with Canadian commodity benchmarks and fiscal regimes (provincial royalties, corporate tax, carbon pricing).Awareness of macroeconomic drivers affecting Canadian energy.Technical Skills: Proficient in Python (pandas, NumPy, statsmodels, scipy).Strong Excel skills for financial modelling, data analysis, and reporting.Experience writing SQL queries against analytical databases (PostgreSQL preferred).Working Style:Self-directed and comfortable in a startup environment where you'll own entire problem domains end-to-end.Strong communicator who can explain model assumptions to non-technical audiences; detail-oriented about data quality.Nice to Have:Experience at a Canadian E&P company, energy consultancy, investment bank energy desk, or energy regulator.Exposure to emissions accounting, ESG reporting, or carbon credit markets.Experience with data visualization and financial statement analysis.Passionate about building quantitative models that drive real energy investment and policy decisions? Send your resume and cover letter to .
Job Title
Energy Analyst & Quantitative Modeller