Commercial DT, Quantitative Developer

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 Commodities Quantitative Developer is responsible for designing, developing and supporting quantitative analytics for ConocoPhillips’ physical and financial commodity trading activities. The role will focus on pricing, valuation, optimization, analytics and market risk capabilities across commodities including LNG, natural gas, power, crude oil and associated hedging products. The position will work closely with traders, Market Risk, quantitative analysts, commercial technology and data teams to translate business requirements into scalable, production-quality analytical solutions. The role will operate across a multi-ETRM landscape with consolidated data and reporting. The successful candidate will combine strong quantitative knowledge with hands-on software development experience and a practical understanding of commodity markets. Position Overview Your Responsibilities may include: Design, develop and maintain quantitative pricing, valuation, optimization and risk analytics supporting physical and financial commodity trading. Develop models and analytical tools for commodity products including forwards, futures, swaps, options, spreads and structured transactions. Build reusable, production-quality quantitative libraries, services and applications. Integrate quantitative analytics with ETRM platforms, market data services, the consolidated data model and downstream reporting solutions. Define and validate the market, trade and reference data required by quantitative models, including forward curves, volatility surfaces, correlations, FX rates, calendars and contract metadata. Implement model validation, benchmarking and reconciliation controls to ensure analytical outputs are accurate, traceable and reproducible. Optimise model performance and troubleshoot production issues, perform root-cause analysis and implement sustainable fixes. Apply software engineering standards including modular design, automated testing, peer review, version control and controlled deployment. Maintain model and technical documentation covering methodology, assumptions, limitations, data requirements and operational controls. Contribute to the development of the broader quantitative, risk and data architecture across the commodities trading landscape. Success Profile To thrive in this role, you’ll demonstrate the following leadership competencies: Takes Accountability: Takes ownership of actions and follows through on commitments by courageously dealing with important problems, holding others accountable, and standing up for what is right. Drives Performance: Delivers results through realistic planning to accomplish goals. Makes Decisions: Generates effective solutions based on available information and makes timely decisions that are safe and ethical. Required Qualifications Legally authorized to work in the United States. Bachelor’s degree or higher in Mathematics, Physics, Engineering, Computer Science, Financial Engineering, Statistics or a related quantitative field. 7 or more years of experience as a quantitative developer, front-office developer, trading strategist or similar role within energy or commodity trading. 7 or more years of experience developing or supporting models for physical or financial commodity products. Advanced level of proficiency using Python, including delivery of production-quality analytical libraries, services, APIs, and applications. Advanced level of proficiency in SQL and working with relational or analytical data platforms. Advanced level of knowledge of commodity derivatives pricing, valuation, PnL and market risk concepts. Advanced level of knowledge in numerical and statistical methods used in pricing and risk, including simulation, interpolation and optimization. Advanced level of proficiency integrating quantitative models with trading, risk, market data or reporting systems through APIs, services or data pipelines. Advanced level of proficiency reconciling analytical results across different models, systems and data sources. Advanced level of knowledge in analytical, problem-solving skills. Advanced level of knowledge in explaining quantitative concepts to both technical and commercial stakeholders. Intermediate level of proficiency with software development practices including automated testing, source control, code review and release management. Preferred Qualifications Master’s degree in Mathematics, Physics, Engineering, Computer Science, Financial Engineering, Statistics or a related quantitative field. Strong combination of quantitative rigour and practical software delivery. Collaborative approach and ability to build effective relationships with traders, Risk, Technology and Data teams. Strong ownership mindset, with a focus on reliability, controls and maintainability. Ability to work across commodities, systems and geographically distributed teams in a fast-paced trading environment. Experience across multiple energy commodities, particularly LNG, natural gas, power, crude oil, refined products or environmental products. Experience with one or more ETRM platforms, including OpenLink Endur, TriplePoint, RightAngle or Planlogic EOS. Experience modelling physical commodity optionality, such as storage, transportation, delivery flexibility, inventory or structured supply arrangements. Experience with Snowflake, Azure, AWS or other cloud-based data and analytics platforms. Programming experience in C++, Java, C#, .NET, OpenJVS or another language used within trading-system environments. Familiarity with model governance, model validation and controlled deployment within a trading environment. Apply By: Nov 5, 2026 Sponsorship: ConocoPhillips’ sponsorship for employment authorization in the U.S. is NOT available for this position. Benefits Overview ConocoPhillips offers a competitive and comprehensive benefits package designed to support your well-being and career growth: Taking Care of Your Health & Wellness : Medical, dental, vision, mental health support, and wellness programs. Supporting and Building Financial Security : Competitive base pay, annual performance bonuses, and retirement savings plans. Promoting Work-Life Balance : Paid time off, paid parental leave, and family support resources. Offering Career Development : Access to training, mentoring, and internal career mobility tools. Guiding Recognition & Inclusion : Peer-nominated awards, inclusive culture, and employee resource groups. Why ConocoPhillips At ConocoPhillips, we believe our people power the future of energy. We’re committed to creating a workplace where employees feel valued, supported, and inspired to grow—professionally and personally. We don’t just offer jobs—we offer meaningful careers in a company that values how we work as much as what we achieve. 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.