Basin & Equity Research Lead

ComboCurve•Houston, TX

About The Position

This role focuses on oil and gas equities research, differentiating itself by building analysis from the well level up, rather than relying solely on top-down company guidance. The position involves owning both basin and play research, including top-wells rankings, subplay studies, completion-design trends, and operator benchmarking, with an audience of E&P executives. It also encompasses equity research, covering public E&P names using proprietary well-level forecasts to analyze NAV, inventory, corporate cash flow, leverage, hedge positions, and valuation, targeting investors and executives. The core product is built on detailed, bottom-up analysis, allowing for clear explanations of discrepancies with company disclosures. This is a technical role with a public-facing component, requiring strong writing and design skills to capture the attention of decision-makers. Research is published in two formats: a two-page executive summary for circulation and a comprehensive full study for detailed argument and auditability. The role requires the ability to write both formats effectively, with compression of complex analysis into concise summaries being a key skill. The successful candidate will maintain a publishing cadence of 1-2 studies per month and ensure models and datasets are organized for efficient updates. The role also involves presenting research at conferences and webinars, supporting executive and investor conversations, and collaborating with marketing and the executive team on future coverage. Feedback on the platform's workflow is also expected.

Requirements

BS in petroleum engineering, geological engineering, or geoscience, or equivalent hands-on experience.
3+ years in energy research, technical evaluation, or energy equity research and investing.
Fluency in production forecasting, including understanding and overriding parameters like b factor.
Fluency in economics (NPV, IRR, payout, price decks, CAPEX tiering, differentials) and sensitivity analysis.
Experience building corporate models from well-level forecasts to cash flow, NAV, and valuation views.
Familiarity with public filings and reserve reports, with a critical perspective.
Hands-on experience with commercial well databases (S&P Global, Enverus, TGS, or similar) and their limitations.
Proficiency in long-form technical writing, capable of sustaining a thesis and building an auditable methodology appendix.
Ability to compress defensible analysis into concise summaries.
Willingness to be a named author and publicly cited.
Demonstrable work samples (published research, investor materials, internal studies) showing contributions.

Nice To Haves

ComboCurve experience, or deep familiarity with comparable forecasting and economics platforms (ARIES, PHDWin, Val Nav).
Sell-side, buy-side, or data and analytics research experience.
Production-level QGIS or ArcGIS experience.
Python or SQL for data preparation, QC, and batch work.
Experience with BigQuery or similar data warehousing solutions.
Multi-basin exposure (Permian, Haynesville, Eagle Ford, Bakken, DJ, Appalachia, Uinta).
Visual and design judgment, or proficiency with design tools (Figma, Illustrator, or equivalent).

Responsibilities

Design and defend research studies.
Build well study populations from commercial and public data, defining screening criteria for accuracy and honesty.
Publish the screening waterfall, detailing population refinement.
Identify and address data inconsistencies and failure modes.
Perform production forecasting using decline curve analysis (Arps parameters, b factor, Di, terminal decline) at scale.
Build type curves and P10/P50/P90 bands, normalizing EUR by lateral length.
Run full-cycle economics including CAPEX, OPEX, pricing sensitivities, NPV, IRR, and payout.
Build corporate models from well-level data: production forecasts, capital programs, cash flow, leverage, hedge books, NAV, and inventory depth.
Reconcile analysis against public disclosures (10-K, reserve reports, investor decks) and articulate differences.
Form investment views, including valuation framing and relative peer comparisons.
Conduct spatial analysis and cartography using QGIS or ArcGIS for subplay delineation, EUR interpolation, permit overlays, and acreage footprints.
Tie results back to geology and geography.
Write full studies (20-50 pages) with detailed analysis, exhibits, and a reproducible methodology appendix.
Condense full studies into two-page executive summaries without losing defensibility.
Own the layout, charts, footnotes, and caveats for both summary and full studies.
Maintain a publishing cadence of 1-2 studies per month, plus responsive pieces.
Keep models and datasets organized for efficient coverage refreshes.
Present research at conferences and webinars.
Support executive and investor conversations.
Work with marketing on distribution and the executive team on coverage strategy.
Provide specific feedback to the product team on workflow inefficiencies.