Research Engineer - Energy Markets

East Daley Analytics uses Predictive Index as part of its hiring process. Candidates must complete both assessments to be considered for this role:

East Daley Analytics provides proprietary intelligence on North American energy infrastructure, commodity markets, and public energy companies. Our Equity Research team combines fundamental market analysis with asset-level financial modeling to determine how changes in production, flows, prices, contracts, and infrastructure affect company earnings and investment outcomes.

At East Daley, we move the market. We connect physical energy-market signals to financial performance so investors and industry leaders can understand what is changing, which companies are exposed, and where our outlook differs from consensus. We are building the next generation of energy equity research through proprietary data, rigorous analysis, and technology.

A highly resourceful Research Engineer to become a force multiplier for our Equity Research team. You will work directly with analysts to understand how they research companies and markets, identify where their workflows can be improved, and build tools that increase the speed, quality, and depth of their work.

You will use Python, SQL, AI, automation, and proprietary energy data to turn recurring analytical problems into scalable solutions. You will also explore the data independently, challenge assumptions, build market models, and develop differentiated views on energy markets and company performance.

The ideal candidate is a builder and problem-solver who can enter an ambiguous situation, learn the business context, find the right data, ship a practical solution, and explain why the result matters.

• Work directly with Equity Research analysts covering public energy companies and serving institutional investors and energy-industry clients.
• Build tools that immediately influence research quality, forecast accuracy, and client decisions.
• Work with proprietary asset, production, flow, contract, infrastructure, and financial data.
• Own projects end-to-end, from problem definition and raw data through deployment, market interpretation, and client-facing output.
• Exercise meaningful autonomy to identify high-value problems, propose solutions, and drive them to implementation.
• Help define how AI changes the way equity research and energy‑market analyses are performed.
• Develop a rare combination of technical, financial, and energy‑market expertise.

• Work directly with Equity Research analysts to understand their workflows, identify recurring bottlenecks, and determine where technology can improve speed, quality, and analytical depth.
• Own solutions from problem definition through development, testing, deployment, adoption, and iteration.
• Build tools and automations that reduce manual data work and allow analysts to spend more time interpreting markets and companies.
• Develop reliable data pipelines, scrapers, transformations, internal applications, and analytical models using Python and SQL.
• Connect asset, production, flow, contract, infrastructure, ownership, company, and financial data across East Daley’s systems.
• Build workflows that translate physical market activity into revenue, EBITDA, capital expenditures, company forecasts, and investment implications.
• Transform recurring Excel-based processes into structured, reusable, and supportable systems.
• Reconcile inconsistent datasets, identifiers, ownership structures, reporting periods, and company disclosures.
• Develop models and analyses that identify emerging trends, unusual signals, forecast risks, and differentiated market views.
• Translate technical outputs into clear market, financial, and investment…