Intern, Trading Analytics 2027
Listed on 2026-08-22
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Business
Data Scientist, Financial Analyst
Welcome to Conoco Phillips, where innovation and excellence create a platform for opportunity and growth. Come realize your full potential here.
Who We AreWe are one of the world’s largest independent exploration and production companies, based on proved reserves and production of liquids and natural gas. With operations and activities in 13 countries, we explore for, develop, and produce crude oil and natural gas globally. We are challenged with an important job to safely find and deliver energy to the world. Our employees are critical to our success, and with them we power civilization.
We’re grounded by our SPIRIT Values – safety, people, integrity, responsibility, innovation, and teamwork. These values position us to deliver strong performance in a dynamic business – but not at all costs. We believe it’s not just what we do – it’s how we do it – that sets us apart.
Fostering an Inclusive Work EnvironmentTo deliver superior performance, we create an environment that respects the contributions and differences of every individual. Wherever possible, we use these differences to drive competitive business advantage, personal growth and, ultimately, create business success.
Job SummaryThe Commercial organization manages the company’s worldwide commodity marketing and trading portfolio. Commercial works closely with the regional business units to market Conoco Phillips 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 Conoco Phillips' 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 Conoco Phillips global headquarters located in Houston, Texas. Typical length of our internships varies from 10 to 14 weeks based on the project and your availability.
- 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
Required:
- 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…
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