Intern, Trading Analytics 2027
About The Position
The Commercial organization manages the company’s worldwide commodity marketing and trading portfolio. Commercial works closely with the regional business units to market ConocoPhillips equity production and improve realized commodity values. In addition, the Commercial organization is responsible for generating value from third party marketing and trading. The Trading Analytics Intern supports ConocoPhillips' Strategy, Analytics & Portfolio Optimization organization, gaining hands-on exposure across market analytics, economics and quantitative analytics work streams that underpin our trading, marketing, and risk decisions. These roles span our commodity portfolio of crude oil, NGLs, natural gas, power, and LNG. Depending on placement, interns will either support fundamental market analysis (supply/demand balances, price forecasting, and market intelligence) or quantitative modeling (pricing, simulation, and optimization), working alongside analysts, quants, and traders on live commercial projects. Interns will be paired with a supervisor, mentor, and buddy for the duration of the internship and will deliver a final project presentation to Commercial leadership. Intern assignments are offered at ConocoPhillips global headquarters located in Houston, Texas. Typical length of our internships varies from 10 to 14 weeks based on the project and your availability.
Requirements
- Must be legally authorized to work in the United States on a full-time basis for anyone other than current employer and/or education institution
- Pursuing a Bachelor's degree or higher in Mathematics, Statistics, Economics, Finance, Data Science, Engineering, Computer Science, Physics, or other related quantitative or technical fields
- Current level in college: Junior, Senior, or Graduate Student
- Expected graduation date: Fall 2027 through Spring 2029
- Available for internship start mid-late May 2027
- A minimum of ten (10) continuous weeks’ availability for internship
Nice To Haves
- A minimum cumulative and major GPA of 3.25 on a 4.0 scale
- Strong foundational skills in Excel including exposure to at least one programming or statistical language (e.g., Python and R)
- Exposure to analysis, modeling and visualization using common programs and applications (e.g., Python, R, SQL, Excel/VBA)
- Coursework or project experience in statistics, econometrics, financial modeling, optimization, or data science
- Interest in energy or commodity markets (crude oil, natural gas, NGLs, power, or LNG)
- Genuine intellectual curiosity and a desire to deeply understand the logic, mathematics, and mechanics underlying the models and tools being built
- Proficiency with Microsoft Office Products
- Builds positive relationships based on trust and seeks collaboration across organizational boundaries to achieve goals
- Takes ownership of actions and follows through on commitments by holding others accountable and standing up for what's right
- Strong written and verbal communication skills, with the ability to translate and explain technical or analytical to non-technical audiences
Responsibilities
- Support the 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
- Help build or enhance fair value models for futures, spreads, and other derivative products
- Assist in preparing market updates and ad hoc research summarizing supply/demand trends and price outlooks
- Support development and testing of pricing, simulation, or optimization models across crude, natural gas, power, LNG, or NGLs
- Assist with forward curve construction, calibration routines, and back-testing of existing models
- Contribute to the commercial quant library, including documentation, validation, and code review support
- Apply statistical or machine learning techniques to improve forecasting accuracy for fundamentals or price relationships
- Deliver a defined project with clear milestones and a final presentation to Commercial leadership, supervisors, mentors, and collaborators
- Partner with traders, analysts, and quants to translate data into decision-ready insights
- Present findings clearly to both technical and non-technical audiences
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Intern
