Basin & Equity Research Lead

Combo Curve is a industry leading cloud-based software solution for A&D, reservoir management, and forecasting in the energy sector. Our platform empowers professionals to evaluate assets, optimize workflows, and manage reserves efficiently, all in one integrated environment.

By streamlining data integration and enhancing collaboration, we help operators, engineers, and financial teams make informed decisions faster. Trusted by top energy companies, Combo Curve delivers real-time analytics and exceptional user support, with a world-class customer experience team that responds to inquiries in under 5 minutes.

Oil and gas equities are having a moment, and most of the research being written about them is modeled top-down off company guidance. We can do something almost nobody else can: build from the well up. Well-level forecasts and economics in Combo Curve, rolled into a corporate model, rolled into a view on the equity. Same engine, two products.

This role owns both halves:

• Basin and play research. Top-wells rankings, subplay studies, completion-design trends, operator benchmarking. Audience is E&P executives.
• Equity research. Coverage of public E&P names built on our own well-level forecasts rather than on management’s. NAV and inventory, corporate cash flow, leverage, hedge position, valuation. Audience is investors and the executives who care what investors think.

The through-line is that our conclusions are built from the rock upward, and we can show our work at every layer. When our NAV disagrees with a company’s own disclosure, we can point to the wells and say why. That is the whole product.

This is a technical role with a public face. The output is research, not marketing copy. But the audience is made up of decision-makers, and the writing and design have to earn their attention.

Every study gets published at two depths. The two-page executive summary is what circulates: the ranking or the call, the type curve, the headline numbers, the methodology in brief. Underneath it sits the full study, which is where the actual argument lives. Subplay-level type curves, completion trends by vintage, spacing and parent-child effects, inventory depth, corporate model output, sensitivities across price decks, and a methodology appendix complete enough that a skeptical engineer or analyst could rebuild your numbers.

The summary earns the meeting. The full study survives it, because the person who asks the hardest question will ask for the long version.

You will write both. They are different skills and we need both in one person.

What you’ll do

Design and defend the study

• Build well study populations from commercial and public data, then define screening criteria that make the population honest: vintage floors, minimum lateral length, completion-intensity thresholds, minimum production history, re-stimulation exclusions.
• Publish the screening waterfall. Every study shows how the population went from unfiltered to final, and what each criterion removed.
• Know where the data lies. Null proppant, perforated vs. drilled lateral length, re-fracs with two completion events booked under one EUR, mis-assigned operators after an acquisition.

Forecast and evaluate

• Run decline curve analysis across hundreds to thousands of wells:
  Arps parameters, b factor, Di, terminal decline, forecast QC at scale.
• Build type curves and P10/P50/P90 bands; normalize EUR to a common lateral length so rankings aren’t just a proxy for who drilled longest.
• Run full-cycle economics: vintage-tiered and lateral-length-based CAPEX, fixed and variable OPEX, flat and strip pricing, NPV, IRR, and payout, with sensitivities when the conclusion depends on price.

Roll it up to the company

• Build corporate models off the well-level work: production…