About Studio.Energy

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Studio Energy is building a modern data and analytics platform for the Canadian energysector. Our stack includes a 700+ table data warehouse ingesting from 25+ sources(AER, CER, Bloomberg, EIA, Bank of Canada, StatsCan, SEC EDGAR, and more), afinancial forecasting engine (CapFlow), and a self-service portal where non-technicalusers can run scenario-based models without writing code. We're a small team, andyou'll have outsized impact.

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The Role

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You'll evolve the quantitative models that power CapFlow, our flagship forecastingengine for Canadian oil and gas producer economics. CapFlow projects taxes, royalties,operating costs, capex, debt, carbon compliance costs, and cash flow across everyCanadian province and fuel type. The models feed directly into client-facing dashboardsand scenario analysis tools. Day-to-day, you'll work across the full modelling lifecycle:sourcing data, building regressions, designing forecasting methodologies, runningscenario analysis, and interpreting results for stakeholders.

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What You’ll Do

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• Build and maintain financial models: models for OPEX, CAPEX, royalties, taxes,and debt; waterfall cash flow calculations; production forecasting via declinecurves.

• Extend the modelling framework with new methodologies and validate outputsagainst 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, andcompany financials.

• Contribute to the data warehouse: write Airflow DAGs to ingest new datasources, build trusted and curated layer transformations, and maintain dataquality.

• Communicate results: translate model outputs into clear insights for clients,advisors, and non-technical stakeholders; document assumptions andmethodology.

• Leverage AI tools to accelerate research, code development, data exploration,and documentation.

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Requirements

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Quantitative & Analytical Skills:

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• Degree in engineering, economics, finance, mathematics, statistics, or a relatedquantitative field.

• Strong foundation in regression analysis, time series methods, and statisticaldiagnostics.

• Experience with data transformations and translating real-world relationshipsinto validated mathematical models.

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Energy Domain Knowledge:

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• Understanding of upstream oil and gas economics: production profiles, declinecurves, capital intensity, operating cost structures.

• Familiarity with Canadian commodity benchmarks and fiscal regimes (provincialroyalties, corporate tax, carbon pricing).

• Awareness of macroeconomic drivers affecting Canadian energy.

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Technical Skills:

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• Proficient in Python (pandas, NumPy, statsmodels, scipy).

• Strong Excel skills for financial modelling, data analysis, and reporting.

• Experience writing SQL queries against analytical databases (PostgreSQLpreferred).

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Working Style:

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• Self-directed and comfortable in a startup environment where you'll own entireproblem domains end-to-end.

• Strong communicator who can explain model assumptions to non-technicalaudiences; detail-oriented about data quality.

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Nice to Have:

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• Experience at a Canadian E&P company, energy consultancy, investment bankenergy desk, or energy regulator.

• Exposure to emissions accounting, ESG reporting, or carbon credit markets.

• Experience with data visualization and financial statement analysis.

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Passionate about building quantitative models that drive real energy investment and policy decisions? Send your resume and cover letter to think@studio.energy.