Intern, Trading Analytics 2027

Oil Authority; Houston, Northern (TX, KY); Hybrid; USD 34,000 - 41,000; Full time

Job summary

ConocoPhillips offers an internship in the Commercial organization, based in Houston, focusing on market analytics or quantitative analytics across oil and gas commodities. You will work with a supervisor and mentors on live projects spanning fundamental analysis or pricing, simulation, and optimization.

The program targets students in quantitative fields with strong Excel and programming skills, typically lasting 10–14 weeks starting mid‑May 2027, with an applied final presentation to

Qualifications

• Pursuing a Bachelor's degree or higher in a quantitative field
• GPA 3.25+ preferred
• Junior/Senior or graduate student
• Authorized to work in the United States

Responsibilities

• Support building supply/demand balances and fundamental models for crude oil, NGLs, natural gas, or LNG
• Analyze industry reports and data to support market intelligence
• Help build fair value models for futures, spreads and derivatives
• Assist in market updates and ad-hoc research summaries

Skills

Excel

Python

R

SQL

Education

Bachelor's degree in Mathematics/Statistics/Economics/Finance/Data Science/Engineering/CS/Physics or related

Tools

Excel/VBA

Job description

Welcome to ConocoPhillips, where innovation and excellence create a platform for opportunity and growth. Come realize your full potential here.

Who We Are

We 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 Environment

To 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 Summary

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.

Market Analytics Track

• 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

Quantitative Analytics Track

• 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

Both tracks

• 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

Position Overview

Basic/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 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

Preferred:

• 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

All interested candidates must complete an online application at the ConocoPhillips Careers website to be considered for an interview. ConocoPhillips will conduct on‑campus interviews at various U.S. universities during the Fall of 2026. If your application progresses to the interview stage, your interview will be scheduled either on campus—if we are conducting interviews at your school—or directly with a recruiter if we are not visiting your campus. To find out if and when we will be visiting your campus, please check with your university’s career services office.

To be considered for this position you must complete the entire application process, which includes answering all prescreening questions, attaching your resume with transcripts, and providing your eSignature on or before the requisition closing date of October 31, 2026.

Apply By:

Oct 30, 2026

Sponsorship:

ConocoPhillips’ sponsorship for employment authorization in the U.S. is NOT available for this position.

EEO:

In the US, ConocoPhillips is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, gender identity or expression, genetic information, or any other legally protected status.