Intern, Trading Analytics 2027

Marathon Oil
Houston
Workplace: OnsiteInternshipFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Communication","Collaboration","Ownership","Problem-solving","Intellectual curiosity"]

Support Strategy, Analytics & Portfolio Optimization with hands-on market analytics and quantitative modeling for ConocoPhillips’ crude oil, NGLs, natural gas, power, and LNG portfolios. Work across supply/demand balances, price forecasting, fair value models, and quantitative pricing/simulation/optimization models. Partner with traders, analysts, and quants on live commercial projects, deliver a defined milestone-based final presentation to Commercial leadership, and build decision-ready insights from data.

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Marathon Oil
Marathon Oil
12 hours ago

Intern, Trading Analytics 2027

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Last checked: 12 hours agoStatus: Live

Job Summary

Support Strategy, Analytics & Portfolio Optimization with hands-on market analytics and quantitative modeling for ConocoPhillips’ crude oil, NGLs, natural gas, power, and LNG portfolios. Work across supply/demand balances, price forecasting, fair value models, and quantitative pricing/simulation/optimization models. Partner with traders, analysts, and quants on live commercial projects, deliver a defined milestone-based final presentation to Commercial leadership, and build decision-ready insights from data.
Location: Houston
Workplace: Onsite
Employment Type: Internship
Job Function: Data Analytics & Business Intelligence
Seniority: Intern level

Key Responsibilities

  • •Support building and maintenance of supply/demand balances and fundamental models for crude oil, NGLs, natural gas, or LNG.
  • •Analyze industry reports, production data, inventory levels, and shipping/vessel-tracking data to support market intelligence and price outlooks.
  • •Contribute to fair value models and help prepare market updates and ad hoc research summarizing supply/demand trends.
  • •Assist development, testing, and calibration of pricing, simulation, or optimization models across crude, natural gas, power, LNG, or NGLs.
  • •Translate data into decision-ready insights by partnering with traders, analysts, and quants and delivering a final project presentation to Commercial leadership.

Key Requirements

  • •Must be legally authorized to work in the United States full-time for anyone other than current employer and/or education institution.
  • •Pursuing a Bachelor’s degree or higher in a quantitative/technical field such as Mathematics, Statistics, Economics, Finance, Data Science, Engineering, Computer Science, Physics, or related.
  • •Current level in college: Junior, Senior, or Graduate Student; expected graduation date Fall 2027 through Spring 2029.
  • •Available to start internship mid-late May 2027 and have a minimum of ten (10) continuous weeks’ availability.
  • •Strong Excel skills with exposure to at least one programming or statistical language (e.g., Python and R), plus experience with analysis, modeling, and visualization (e.g., Python, R, SQL, Excel/VBA) or relevant coursework/projects.
Experience:EnergyCommodity marketsTradingRiskAnalyticsQuantitative modeling
Education:Bachelor's in Mathematics, Statistics, Economics, Finance, Data Science, Engineering, Computer Science, Physics, or other related quantitative or technical fields
Skills:CommunicationCollaborationOwnershipProblem-solvingIntellectual curiosity
Tech Stack:ExcelPythonRSQLVBAMicrosoft Office

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Marathon Oil
An independent oil and gas exploration and production company focused on developing, producing, and marketing crude oil and natural gas. Operates assets in the United States and internationally, with a portfolio centered on upstream energy operations.
Industry: Oil & Gas
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Houston, United States
Founded: 1887
WebsiteLinkedIn